76 to 93 of 93 Machine Learning Jobs in the Thames Valley

of client experience, of communication You’re curious, switched-on, and thrive when given ownership Proactively identify and build relationships with scaling tech companies in need of AI/ML/data engineering hires Participate in (and eventually lead) discovery calls, proposals, and pitch conversations with new clients Work closely with leadership to help grow Inara’s client base and More ❯

Hands-on experience with UAVs/drones, including flight controllers, sensors, and payload integration. Background in aerospace, defence, or service industries (RAF, Navy, Army). Familiarity with AI/ML-based navigation technology, flight simulation software, or camera systems. Programming knowledge in Python and C++ Experience with standard troubleshooting tools and diagnostic equipment. What to expect in your day-to More ❯

Bioinformatician, non-model species, NGS pipelines, Python, Machine Learning, COR7292 My client, a cutting-edge start-up within the AgriTech space, is seeking a Bioinformatician with experience in designing and developing NGS pipelines for the analysis of non-model species to join their growing R&D team. This is an exceptional opportunity to work on breakthrough innovations that … datasets to identify key traits that can drive the development of high-performing, climate-resilient crops. You'll also have the opportunity to apply cutting-edge tools such as machine learning and AI and work collaboratively with experimental biologists to turn genomic insights into real-world agricultural impact. The Company This dynamic and well-funded Oxford University spin … experience Experience designing and developing NGS pipelines for the analysis of non-model species, if this has been within plants even better Ideally experience with de novo transcriptome assembly, Machine Learning and/or Artificial Intelligence, or experience mining genomic data Experience with Python and libraries such as SciPy, Pytorch, NumPy, Pandas etc. What Next? If you'd More ❯

Bioinformatician, non-model species, NGS pipelines, Python, Machine Learning, COR7292 My client, a cutting-edge start-up within the AgriTech space, is seeking a Bioinformatician with experience in designing and developing NGS pipelines for the analysis of non-model species to join their growing R&D team. This is an exceptional opportunity to work on breakthrough innovations that … datasets to identify key traits that can drive the development of high-performing, climate-resilient crops. You’ll also have the opportunity to apply cutting-edge tools such as machine learning and AI and work collaboratively with experimental biologists to turn genomic insights into real-world agricultural impact. The Company This dynamic and well-funded Oxford University spin … experience Experience designing and developing NGS pipelines for the analysis of non-model species, if this has been within plants even better Ideally experience with de novo transcriptome assembly, Machine Learning and/or Artificial Intelligence, or experience mining genomic data Experience with Python and libraries such as SciPy, Pytorch, NumPy, Pandas etc. What Next? If you’d More ❯

and driving sales growth. Responsibilities Data modelling Data extraction and mapping Requirements clarification Documentation Customer communications Skills Must have Data Modelling Automation GIS experience Nice to have Azure storage Machine learning Python More ❯

and the latest advances in technology, paves the way for commercially viable fusion power plants. What's more, our work in stellarator optimization, powered by cutting-edge computation and machine learning, is propelling us into uncharted territories of fusion technology. New higher performance design points are unlocked by high temperature superconducting magnets. To fully grasp this huge opportunity … Europe when you assemble the best talent. YOUR IMPACT Our stellarator design team is pushing the boundaries of today's technologies, directly integrating physics simulation with design engineering and machine learning workflows. We are building new tools and processes to drive fusion performance up and power plant costs down. As a Research Software Engineer, you will join our … to date with current software development best practices and tools, e.g. AI coding assistants or modern data pipelines and scheduling solutions. - Enjoy diving into new problems with a continuous learning attitude, absorbing relevant domain knowledge. - Additional experience with scientific C++ and Fortran libraries, HPC technologies, cloud computing, or web app development is a plus. INTERVIEW PROCESS Recruiter Interview More ❯

post. They will have a proven research track record in the general field of biomedical engineering or its applications, in the general area of computer vision, wearable, neuroimaging and machine learning technologies for mental health and cognition. They will contribute to research in biomedical engineering and experimental psychology, supervise research students and research assistants, and obtain external funding … and research record, or on a trajectory to achieve this, within the field of biomedical engineering or its applications, in the general area of computer vision, wearable, neuroimaging and machine learning technologies for mental health and cognition, demonstrated by previous achievements, e.g. publications in recognised journals and conferences; A publication record that demonstrates impact within the field appropriate More ❯

in a growing healthcare organisation supporting over 110,000 clients annually. The Role *Deep understanding of software development, IT infrastructure, DevOps, Agile, and Scrum practices, with experience in AI, ML, RPA, UX, design, end-user testing, and requirements gathering. *Ability to analyse complex problems, devise solutions, and make informed decisions under pressure. *Identify risks, implement mitigation strategies, and ensure projects More ❯

in a growing healthcare organisation supporting over 110,000 clients annually. The Role *Deep understanding of software development, IT infrastructure, DevOps, Agile, and Scrum practices, with experience in AI, ML, RPA, UX, design, end-user testing, and requirements gathering. *Ability to analyse complex problems, devise solutions, and make informed decisions under pressure. *Identify risks, implement mitigation strategies, and ensure projects More ❯

and an ambitious roadmap to tackle some of humanity’s biggest problems - is building a new tech team in Oxford. They’re quietly assembling an unbelievable team of Applied ML experts, researchers, and technologists, and now they need a Product Manager to help shape what that future looks like. They’re looking to double in size this year so this … how cutting-edge AI can accelerate impact across these domains, you’ll be right at home here. What you’ll do: Own and define product strategy for AI/ML tools supporting multi-disciplinary science and tech programmes Work directly with top-tier technical teams (Data Science, ML Ops) and programme leads to build tools that matter Translate wickedly complex … decisions align with impact Communicate like a pro-up, down, and sideways. You’ll brief stakeholders from engineers to execs What we’re looking for: Experience building AI/ML or software products, ideally in one or more of: HealthTech, ClimateTech, AgTech, FinTech, Energy, GeoTech Strong grasp of research/scientific concepts, even if you’re not a published academic More ❯

engineer will dive into creating new cutting-edge features interacting directly with hardware. The work will go beyond solely the development of desktop applications, as projects could overlap with machine learning and computer vision techniques as well as frontend UI work. This role is ideal for someone with at least a year or two of experience, preferably with More ❯

tech. Focusing on really exciting and rapidly expanding technology markets including AI, where AI adoption among large companies as grown by nearly 50% since 2018. As well as that; machine learning and data across both the UK and US. Founded by the MD of a world-renowned tech recruitment agency. You would be joining a fresh team with … quickly with performance Industry leading commission scheme - up to 40% commission and no limit on what you can earn A full Career development programme, very clear and structured Onsite Learning and Development Manager focussed on training support Incentive Ski trips to the Alps and holidays to Las Vegas and Barbados! Monthly and Quarterly lunch Clubs to Michelin Starred restaurants More ❯

and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity … it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request. Similar Jobs (1) Machine Learning and AI Engineering Lead remote type Hybrid locations 4 Locations time type Full time posted on Posted 7 Days Ago Mars is a family-owned business with More ❯

Engineer in the Core Technology team, I am involved in building data access layers, business logic and user interfaces. This type of role allows me to apply data science, machine learning and modern software development practices, as well as a keen interest in genomic data analysis. Genomics has provided me with great opportunities to learn, working with highly More ❯

Postdoc at Oxford: Machine Learning & Global Health Date: Jan 11, 2023 We are hiring a postdoctoral researcher to join my group in the Department of Computer Science at Oxford, working with the Machine Learning & Global Health network on machine learning applications for public policy and global health. This position is funded by EPSRC. For … more details, see this link . The role involves leading research in computational statistics and machine learning, with the goal of making a tangible impact by collaborating with governments, NGOs, and international organizations. Recent publications from the group include: List of publications or specify if unavailable If you have any questions, please contact me directly or reach out … to members of the Machine Learning & Global Health Network . More ❯

General Theory for Big Bayes" and Grenoble IDEX. Interested applicants should write to us with: a letter of interest, CV, and should require two recommendation letters. Context Bayesian deep learning brings together two of the most important machine learning paradigms: Bayesian inference and deep learning. On the one hand, Bayesian learning provides a theoretically sound framework … to formalise the estimation of the architecture and the parameters of deep neural network models. On the other hand, deep learning offers new tools in Bayesian modelling, e.g. to learn flexible nonparametric priors or computationally efficient posterior distribution approximations. State of the art The field of machine learning has recently been much impacted by deep learning. Deep … for their many parameters to be accurately estimated. Bayesian statistics offers a theoretically well-grounded framework to reason about uncertainty, and it is one of the cornerstones of modern machine learning. At the same time, the theory at the basis of deep neural networks is not yet very well understood and its grounds must be laid out. Although the More ❯

and the latest advances in technology, paves the way for commercially viable fusion power plants. What's more, our work in stellarator optimization, powered by cutting-edge computation and machine learning, is propelling us into uncharted territories of fusion technology. New higher performance design points are unlocked by high temperature superconducting magnets. To fully grasp this huge opportunity More ❯

Tooling, Proactive Monitoring), managing advanced incident detection, threat hunting, and forensic investigations using platforms like Splunk, Defender, and CrowdStrike Collaborate with Security Engineering and Architecture to integrate AI/ML (e.g., Microsoft Copilot) and emerging security tech for real-time response, smarter automation, and enhanced endpoint/cloud visibility across complex environment Build and maintain strategic relationships across Global Business More ❯