Computer Field Technician

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.

Join our dynamic team at dev2 as a Field Technician, where you'll play a crucial role in providing top-notch technical support and services in the field. Your hands-on expertise will be essential in troubleshooting, maintaining, and installing equipment, ensuring optimal functionality for our clients. We are looking for a proactive problem-solver who is passionate about technology and committed to delivering exceptional service.

Join our dynamic team at AECOM as an Archaeology Field Technician, where you will play a pivotal role in archaeological fieldwork across various exciting projects. We are seeking dedicated individuals at Levels I to IV to assist in excavations, site surveys, and artifact analysis. This is an excellent opportunity for those passionate about archaeology and looking to contribute to meaningful projects.

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 settings. What you will do Guide the design and implementation of algorithms for image and video processing tasks Direct and mentor engineers tackling computer vision problems Work with data scientists to develop solutions that address industry needs Location This position is based in London.

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.

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.

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.

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.

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.

Join the Collibra Field Security TeamThe Field Security team serves as a vital connection between our Field teams and customers, prioritizing customer trust above all. We collaborate with Sales, Product, and Engineering to implement security initiatives that not only add business value but also enhance customer satisfaction and loyalty.Our customers guide our decisions, and we embody this by working closely with key clients to resolve significant and business-critical security challenges.This is a hybrid position based in our London office. Our hybrid model requires you to work from the office at least two days a week, fostering collaboration and team progress.

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

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.

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.

About AvePoint: As a leader in data security and governance, AvePoint empowers organizations to collaborate with confidence. We serve over 25,000 clients globally, providing solutions that enhance data security and optimize critical information across platforms like Microsoft, Google, and Salesforce. Our extensive partner network includes around 5,000 managed service providers, value-added resellers, and systems integrators, making our solutions accessible in over 100 cloud marketplaces. Discover more at www.avepoint.com. We believe in investing in our people. With a culture rooted in agility, passion, and teamwork, we empower you to take charge of your career and make a meaningful impact. About the Role: We are searching for an innovative and strategic Director of Field Enablement to spearhead our enablement initiatives across our global teams. This pivotal role is essential for driving revenue growth, enhancing productivity, and ensuring excellence within our customer-facing and internal teams. The ideal candidate will be a visionary leader with a solid history of designing and executing impactful enablement programs in a dynamic global environment. Key Responsibilities include: Collaborate cross-functionally to design and implement global enablement programs for sales and technical teams. Work alongside field leadership, product, marketing, and GTM teams to create quarterly modules tailored to support business growth and local requirements. Develop an incentive framework utilizing badges and gamification to boost engagement and learning. Monitor key metrics for both new and veteran hires to enhance the effectiveness of enablement initiatives. Foster partnerships...

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.

Company OverviewFounded in 2017, the Terry Soot Management Group (TSMG) is a leading provider of field data collection services across Europe and North America. Our mission is to gather essential data in areas where automation is not feasible. Our expert teams meticulously count features, capture high-quality images and videos, record audio, and thoroughly scan locations to provide you with the detailed insights necessary for making informed decisions.Project ObjectiveWe are seeking to survey businesses throughout London to verify their locations, operating hours, and contact details. The gathered information will be accurately documented in a designated Google form.ResponsibilitiesField data collectors will be assigned specific addresses to visit each day. Data collection will be conducted using a corporate smartphone. We are looking for individuals who are proactive, communicative, and eager to engage with the task at hand.Project DurationThis project is ongoing, and we are looking to expand our team. The current phase is expected to continue until mid-December 2023, with potential for further opportunities.Work Schedule The work schedule will be Monday to Friday, 40 hours per week, with an 8-hour workday.

Join our dedicated team as a Field Care Supervisor where your leadership will shine! In this pivotal role, you will oversee a team of care staff, ensuring they deliver the highest quality of care to our clients. Your responsibilities will include supervising day-to-day operations, conducting training sessions, and maintaining compliance with regulatory standards.