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Experience Level
Senior
Qualifications
To excel in this role, candidates should possess a strong background in computer vision, machine learning, and AI systems engineering. A proven track record in developing complex algorithms and software systems is essential. Strong problem-solving skills, the ability to work collaboratively in a team-oriented environment, and excellent communication skills are highly valued.
About the job
As a Senior AI Systems Engineer at aifi, you will spearhead the cutting-edge research and development initiatives within our Scene Understanding Team, focusing on advanced computer vision technologies. Your responsibilities will encompass designing sophisticated systems to calibrate extensive networks of cameras and executing state-of-the-art methods in 3D reconstruction and semantic segmentation. This is an exciting opportunity to contribute to pioneering projects that redefine visual computing.
About aifi
aifi is a forward-thinking technology company dedicated to pushing the boundaries of artificial intelligence and computer vision. We foster an innovative culture that empowers our team members to explore new ideas and technologies, driving significant advancements in the AI landscape.
Role overview Faculty seeks a Lead Computer Vision Engineer to join its London office. This position leads a group of engineers and partners closely with data scientists to deliver advanced computer vision systems. The team supports a range of projects across different industries, with a focus on practical uses of artificial intelligence in real-world settin…
Full-time|£55K/yr - £70K/yr|Hybrid|Old Street, London
Vivacity Labs develops technology to help authorities worldwide monitor and manage real-time traffic, aiming to make transport systems safer and more sustainable. The team’s work supports cities and organizations seeking better traffic insights and control. Role overview The Computer Vision Engineer will contribute to the core computer vision stack, focusing on real-time traffic analytics built with NVIDIA Edge AI. The role involves developing, maintaining, and deploying AI-powered traffic sensor systems, with particular attention to performance, accuracy, and efficiency. These efforts support Vivacity’s GStreamer and DeepStream-based pipelines. Collaboration is a key part of this position. The engineer will work closely with researchers and hardware engineers to ensure that deployed models run reliably in production. There is also the opportunity to take ownership of significant components within the vision stack and influence the direction of Vivacity’s edge AI systems. Key responsibilities Advance DeepStream and GStreamer pipelines, add new features, and deploy advanced deep learning models (approximately 75% of the role) Debug and support production systems as needed (about 15%) Collaborate with teams such as cloud engineers and data specialists on projects like self-learning algorithms and dashboards for new datasets (about 10%) Location and working arrangements This position is based at the London office near Old Street. Flexible and hybrid working options are available. Wednesdays in-office are required, and two days per week in-person are recommended. Reporting line This role reports to Adam Fry, Engineering Manager, Sensor Hardware & Electronics. Compensation Salary: £55,000–£70,000 Vivacity Labs is open to applicants outside this salary range and will discuss the compensation package based on experience and expertise.
Faculty partners with organizations around the world to deliver practical, responsible AI solutions. Since 2014, the company has worked on more than 350 client projects across sectors including government, finance, retail, energy, life sciences, and defense. Faculty focuses on human-centric AI and measurable outcomes. More information about Faculty’s work is available here. Defence Team The Defence team develops AI systems that support national security and global stability. Projects emphasize ethical, reliable AI for high-stakes environments. Team members collaborate closely with clients, often working on-site to make sure solutions address real-world needs. This role requires eligibility for UK Security Clearance (SC). Expect to work on client sites in the UK two to four days per week, with travel as needed. When not on-site, work can be done from the London office or remotely within the UK. Role overview The Computer Vision Engineer leads AI projects for defence clients, shaping technical direction and connecting advanced research to practical deployment. As the main technical authority, this person will design and implement computer vision systems that address critical client challenges. This position offers the chance to influence technical strategy, introduce new capabilities, and build a reputation as a thought leader within the team. It suits engineers who value autonomy and want to advance the state of the art in computer vision.
Full-time|$200K/yr - $300K/yr|On-site|London, United Kingdom; New York, NY, United States; Seattle, Washington, United States
Join Hudson River Trading (HRT), a leading global algorithmic trading firm, where innovation meets high-performance computing. Our research cluster is the cornerstone of our trading success, providing the robust environment where cutting-edge trading strategies are conceived and executed. At HRT, we leverage a state-of-the-art research ecosystem featuring advanced CPU and GPU computing, expansive storage solutions, and high-speed networking technologies. Our engineering team meticulously handles the software stack, optimizing everything from user-level APIs to low-level caching mechanisms. We tackle a diverse range of challenges—from theoretical resource scheduling to the practical optimization of trading program runtime performance. As a Distributed Compute Engineer, you will play a vital role in shaping the user experience for our research environment, developing and refining technical solutions that enhance research efficiency and accessibility. Collaborating daily with our talented quantitative traders and software engineers, you'll contribute to a dynamic environment that fosters innovation and excellence.
At Fastly, we are dedicated to enhancing connectivity to the digital experiences that matter most to our users. Our cutting-edge edge cloud platform empowers our clients to rapidly and securely deliver exceptional digital solutions by processing, serving, and securing applications close to their end-users — right at the edge of the Internet. Built to leverage the modern internet, our platform is highly programmable and supports agile software development, serving a roster of prestigious clients such as GitHub, Yelp, Paramount, and JetBlue.Join us in our mission to create a more trustworthy Internet.Posting Open Date: 24 March, 2026Anticipated Posting Close Date*: 20 April, 2026*Job posting may close early due to the volume of applicants.Staff Software Engineer, Compute PlatformOur team is responsible for developing the Compute platform at Fastly — an advanced serverless solution built on open standards operating on our extensive global edge network. This platform meets the demands of modern application development, enabling customers to execute code in a secure environment with microsecond cold start times, at scale, right on the edge.We are seeking a talented Staff Software Engineer to join our dynamic team and help enhance our hosting infrastructure. This role will encompass essential networking and systems-level tasks, as well as cross-team collaboration and the design of high-quality APIs for our customers to leverage services developed by other teams. You will also have the opportunity to contribute to influential open-source projects (such as Wasmtime) that play a pivotal role in our Compute vision.What You'll Do:Facilitate seamless communication and coordination among team members and across various technical and product teams.Engage in code reviews to enhance the codebase and improve team processes.Lead projects from a technical standpoint, driving progress and keeping stakeholders informed on project status.Develop platform-level code in Rust that addresses host concerns such as back pressure, resource limits, and service interactions.Investigate and resolve performance and stability challenges to meet stringent scalability requirements.Take ownership of a large-scale production system characterized by exceptional performance and availability needs.
Join Isomorphic Labs, where we are harnessing cutting-edge AI to drive revolutionary scientific discoveries, accelerate breakthroughs, and develop transformative medicines, with the ultimate goal of tackling all diseases.We envision a future powered by the remarkable capabilities of machine learning—one where drug discovery is not only improved but revolutionized.Be a vital part of our dynamic interdisciplinary team, dedicated to pioneering innovations and playing a significant role in our ambitious mission, all while thriving within a culture that inspires collaboration and creativity.The future we aspire to is being shaped today, starting with our company culture and each one of us.About Isomorphic LabsFounded in 2021, Isomorphic Labs is committed to enhancing human health through advanced AI technologies, building on the Nobel-winning AlphaFold system. Our diverse team of drug discovery professionals and machine learning experts has developed powerful predictive and generative AI models that expedite scientific discovery at an unprecedented pace.Our name embodies our belief in the intrinsic symmetry between biology and information science. By leveraging AI’s robust capabilities, we model intricate biological phenomena to design innovative molecules, predict drug performance, and create groundbreaking treatments for some of the world’s most pressing health challenges.We have established a leading drug design engine featuring AI models adept at working across various therapeutic areas and drug modalities. Our commitment to continuous innovation in model architecture and the development of advanced capabilities propels the future of rational drug design.With each breakthrough, we are inching closer to the realization of digital biology and our ambitious mission to ultimately conquer all diseases with the power of AI.
As a Senior AI Systems Engineer at aifi, you will spearhead the cutting-edge research and development initiatives within our Scene Understanding Team, focusing on advanced computer vision technologies. Your responsibilities will encompass designing sophisticated systems to calibrate extensive networks of cameras and executing state-of-the-art methods in 3D reconstruction and semantic segmentation. This is an exciting opportunity to contribute to pioneering projects that redefine visual computing.
Join Our Team as a Computational Protein DesignerAbout the RoleLatent Labs is on the lookout for a talented Computational Protein Design Scientist to become part of our innovative team at the intersection of generative AI and synthetic biology. Collaborating closely with our Lead Computational Protein Designer, you will play a pivotal role in a dynamic group of scientists dedicated to designing and engineering proteins tailored for specific functions. This is a unique opportunity to contribute to an organization that is pioneering advancements in artificial intelligence to tackle long-standing scientific challenges. Leveraging your computational skills and profound biochemical knowledge, you will generate insights to enhance protein functionality while bridging our machine learning and experimental platforms, ensuring a seamless integration of AI-generated data with lab validation processes.About UsAt Latent Labs, we are committed to building groundbreaking models that decode the essentials of biology. Our ambitious team thrives on curiosity and the pursuit of scientific excellence. Prior to establishing Latent Labs, our team co-developed DeepMind’s Nobel Prize-winning AlphaFold, pioneered latent diffusion technology, and created leading platforms for lab data management and high-throughput protein screening. At Latent Labs, you will collaborate with some of the brightest minds in generative AI and biology.We foster a culture of interdisciplinary collaboration, continuous learning, and teamwork. Regular team offsites strengthen our commitment to building trust across our London and San Francisco locations.We seek innovators who are passionate about addressing complex challenges and creating a positive global impact. Join us on our ambitious mission.
Who are we?At Ki Insurance, we are at the forefront of innovation in the insurance industry. We insure a diverse range of entities from space shuttles and world tours to wind farms and even footballers’ legs. Our mission is to digitally disrupt and revolutionize an industry that has stood for 335 years.In collaboration with Google and UCL, we have developed a cutting-edge platform utilizing algorithms, machine learning, and large language models to provide insurance brokers with quotes in mere seconds instead of days.Proudly recognized as the world’s largest algorithmic insurance carrier, we have emerged as the fastest-growing syndicate in the Lloyd's of London market, achieving a remarkable $100 million in profit within our first three years.With a team of diverse backgrounds, we work collaboratively in an agile environment to deliver the best possible experience for our customers. Ki Insurance has ambitious plans for the future, and we are on the lookout for exceptional individuals who are ready to challenge the status quo and reach new heights.What will your role involve?If you are passionate about providing high-quality user-centric services, we want you! As a Senior End User Computing Engineer, you will be instrumental in designing, managing, and evolving the entire lifecycle of our end-user devices. You will ensure that our laptops, mobiles, and collaboration tools are secure, efficient, and aligned with our business objectives. This hands-on role demands a balance of technical expertise, user empathy, and operational excellence.Join us to make a significant impact, drive innovation, and help shape the future of our digital workplace.Your responsibilities will include: Overseeing the full lifecycle of End User Computing (EUC) assets, including procurement, provisioning, refresh, and secure disposal.Leading 2nd and 3rd line support for EUC technologies while mentoring service desk teams and enhancing their technical capabilities.Administering Intune and driving endpoint compliance, security baselines, and Mobile Device Management (MDM) / Mobile Application Management (MAM) strategies.Monitoring application packaging, patching cycles, and device performance.Managing meeting room and collaboration technology, supporting AV infrastructure, and facilitating in-office events.Championing documentation, automation, and operational excellence throughout EUC services.Supporting Ki’s IT transformation by helping shape our independent digital estate and internal best practices.
Role overview The Computer Field Technician at bctechpro provides on-site technical support for clients throughout London. The main goal is to ensure customer computer systems run smoothly and stay reliable. Responsibilities Diagnose and fix hardware and software problems directly at client sites Perform repairs and routine maintenance on computers and related devices Travel to different locations within London to assist customers as needed What to expect This role involves hands-on technical work and offers the opportunity to build practical skills. The team values collaboration and supports ongoing learning on the job.
Part-time|£55K/yr - £70K/yr|On-site|London, England
Position OverviewMateriom is on the lookout for a talented part-time Computational Materials Scientist or Computational Chemist. This role is pivotal in advancing our innovative computational and machine learning methodologies aimed at expediting the research and development of bio-based materials, ultimately contributing to a net-positive impact on our planet.About MateriomMateriom is an innovative tech startup dedicated to enhancing the research and usage of bio-based materials that positively affect the environment. We achieve this by creating extensive datasets and software tools for scientists, manufacturers, and brands. Our flagship platform, Materiom Commons, hosts a vast open database of material formulations coupled with AI capabilities, serving a vibrant community of over 20,000 scientists, designers, engineers, and entrepreneurs who seek sustainable solutions for packaging and textiles. Our interdisciplinary team merges expertise in circular economy, materials science, AI, and software development, fostering a rich learning environment fueled by diverse perspectives. We are united by our optimism and commitment to collective action.Role ResponsibilitiesDevelop and implement computational models to predict the structure–property–performance relationships in polymers and composites.Utilize polymer informatics tools to analyze experimental and synthetic data, identifying trends to guide experimental designs.Incorporate machine learning techniques into materials discovery processes to accelerate formulation and performance optimization.Identify knowledge gaps and collaborate with team members to address them effectively.
Your contributions will transform lives, including your own.Join Our Innovative TeamAs a key member of Recursion's Value Tech Tooling Team, you will play a pivotal role in revolutionizing drug discovery through our advanced data capabilities. Collaborate with a cross-functional team of distinguished computational biologists and engineers to transform intricate analyses and data workflows into robust tools and pipelines. This collaborative effort aims to streamline the drug discovery process across a variety of therapeutic areas. You will work closely with biologists, medicinal chemists, engineers, data scientists, and ML specialists to design experiments, develop innovative methodologies, build scalable data workflows, analyze results, and uncover recurring themes across programs. With our evolving toolbox, you will contribute to a groundbreaking change in drug discovery, delivering life-enhancing therapeutics to patients with unprecedented speed, quality, safety, and efficacy.In this role, your responsibilities will include:Synthesizing and analyzing diverse datasets from computational biology, target discovery, functional genomics, biomarker discovery, and real-world clinical data, identifying reusable tools and pipelines.Building and enhancing robust data pipelines and analytical workflows for complex biological datasets, including omics and biological assay data sourced from Tempus and other real-world datasets.Developing and employing agentic workflows to integrate analyses across multiple data sources, enhancing insight generation and supporting scalable decision-making throughout drug discovery programs.Partnering with engineers to evolve pilot tools and workflows into stable products that enhance the effectiveness of scientific teams working on drug programs.Presenting data, pipelines, and tools to stakeholders in a clear and compelling manner, driving initiatives aimed at expediting the delivery of medicines to patients.Collaborating across teams including platform data science, data engineering, and ML to enhance our capability to interpret and utilize data effectively.
Role Overview Sigma Computing is hiring an Enterprise Account Executive for EMEA, based in London. This position focuses on building new business, developing a strong sales pipeline, and helping to shape the company's growth in the region. Account Executives at Sigma play a central role in expanding the customer base and directly influencing the company's success. What We Look For Proactive approach to personal and professional development Interest in how data can inform and improve business decisions Integrity, humility, and dedication in all professional interactions What Matters to You Learning from leaders who invest in team success Working on meaningful projects with supportive colleagues Making a real impact in the evolving data sector Building leadership skills for long-term career growth Key Responsibilities Maintain accurate customer, pipeline, and forecast records in Salesforce
Internship|On-site|London, England, United Kingdom
About the Quantum Computing Internship g-mass is offering a three-month Quantum Computing Internship in London, with the possibility of extension. This position suits those with a strong interest in quantum computing and emerging technologies who want to apply academic knowledge to real-world challenges. What You Will Do Conduct research on the latest developments in quantum computing, including vendor solutions and market trends. Examine how quantum computing could impact financial services, focusing on areas such as optimization, risk management, portfolio construction, cryptography, and operational models. Help shape g-mass's quantum computing offerings by translating technical concepts into clear, commercially relevant materials for clients. Produce written content such as research briefs, presentation decks, articles, market analyses, and internal documentation. Explore links between quantum computing and broader topics like AI, cyber resilience, and the future of financial services architecture. Take part in external thought leadership and marketing efforts as needed. Support strategic research projects tied to client opportunities and product development. Location This internship is based in London, England, United Kingdom.
Join Squarepoint Capital as a Quantitative Developer specializing in High Performance Computing with expertise in Python. In this pivotal role, you will contribute to the development and optimization of advanced quantitative models, leveraging your technical skills to enhance performance in a fast-paced environment. Your work will directly influence trading strategies and investment decisions, making a significant impact on the firm's success.
Position Overview:We are in search of a skilled and enthusiastic Software Developer to become an integral part of our expanding team. In this pivotal role, you will be instrumental in the design, development, and maintenance of Squarepoint's internal frameworks, services, and platforms that drive our business operations. This is a fantastic opportunity to work with advanced technologies, directly influencing the efficiency and productivity of both our investment and technology teams at Squarepoint.Design, develop, and maintain high-quality, scalable, and high-performance software solutions.Contribute to the creation of company-wide productivity tools, frameworks, and platforms that enhance operations across the organization.Collaborate with fellow developers and stakeholders to collect requirements, design solutions, and implement features.Write clean, well-documented, and testable Python code.Engage in code reviews and help elevate code quality and development practices.Diagnose and resolve technical issues promptly and effectively.Stay informed about the latest advancements in Python technologies and industry best practices.
Join our innovative team at Helical as a Senior Computational Scientist, where your expertise in computational biology and machine learning will directly contribute to transformative drug discovery processes. You will play a pivotal role in bridging the gap between our foundational models and real-world applications, guiding model evaluations and practical use cases that address pressing challenges in drug development and translational research.As a respected senior individual contributor, you will report to the Head of Computational Biology, with ample opportunities for career advancement into management roles as our team expands. You will collaborate closely with our research team, providing mentorship to junior scientists and working in tandem with Product and Business Development to translate advanced biological concepts and machine learning techniques into impactful solutions for our clients.
About The Dot CollectiveWe are an innovative consultancy operating across the UK and EU, dedicated to engineering excellence and empowering individuals to create significant impacts.Our projects utilize modern technology stacks and follow agile scrum methodologies.About YouAre you excited about the transformative power of data? Do you thrive on making substantial contributions in a short timeframe? If so, you might be the perfect fit for our team.
Join Wiz, a pioneering force in cloud security, as a Cloud Security Research Engineer. In this pivotal role within our Product team, you will be instrumental in fortifying our customers' cloud infrastructures against cyber threats. Your innovations will not only enhance our security offerings but also contribute significantly to customer success and the advancement of cloud security technologies.
Join Phasecraft, a pioneering company in the field of quantum algorithms, where we are laying the groundwork for quantum computing applications that address real-world challenges. Established in 2019 by Toby Cubitt, Ashley Montanaro, and John Morton, we operate out of London and Bristol, UK. In 2023, we successfully raised £13 million in a Series A funding round led by Playground Global, a prominent Silicon Valley deep tech venture capital firm, and in 2024, we expanded our presence by opening an office in Washington DC, under the leadership of Steve Flammia.Our unique partnerships with leading quantum computing platforms such as Google, IBM, Rigetti, and QuEra grant us unparalleled access to state-of-the-art quantum computers. This empowers us to create foundational intellectual property, influence the evolution of next-generation quantum hardware, and expedite the commercialization of significant breakthroughs.As we continue to evolve and delve into new research domains, we are thrilled to announce an exciting opportunity for a Quantum Algorithms Engineer. The ideal candidate will possess substantial experience in the implementation of sophisticated quantum algorithms or strong evidence showcasing their potential in this area. While a background in quantum computing is not strictly necessary, a demonstrated passion for the field through formal education or independent study is essential. Job Responsibilities Develop and assess advanced classical and/or quantum algorithms based on technical literature and research conducted by our team of Quantum Algorithms Scientists. Collaborate effectively within a small team comprising full-time staff and affiliated PhD students. Engage in additional tasks as needed to foster the growth and success of Phasecraft.
