5,051 to 5,075 of 6,656 Machine Learning Jobs in the UK

data scientist who’s comfortable building data pipelines bringing together internal and external data to create market‐leading insights using both classical and ML techniques. This will include looking at demand, renewables and transmission system fundamentals forecasts focussed to begin with on the GB intraday power market. What … concepts Team player excited at the idea of ownership across lots of different projects and tools Passion for driving towards Net Zero Experience with Machine Learning is essential Experience in the electricity industry in GB would be useful but not required If this sounds like you then ...

early-stage role where you will help write the playbook. You will be as comfortable in a benchmarking discussion with a customer's ML engineers as you are presenting a solution to their technical leadership, and you will act as a vital channel back into our own product and engineering … next. What You'll Do Work with Lumai’s business development lead, owning the technical relationship Conduct deep technical discovery with customer infrastructure and ML engineering teams Translate customer requirements into a Lumai-based solution, mapping needs against both near-term and roadmap solutions Define the shape of an engagement ...

Product Management. For over a decade, Fin has invested in in-house AI, with a team of machine learning scientists, ML engineers, researchers, and AI designers. Now, we’re expanding this team with product managers who will define the future of Fin AI platform and AI agent.As … make high-quality decisions and build a compelling roadmap.Work side-by-side with a world-class AI team. You’ll collaborate every day with ML scientists, ML engineers, AI designers, and ML researchers. Together you’ll explore new ideas, assess feasibility, evaluate trade-offs, and turn advanced AI capabilities into ...

behavior in AI models, and to leverage these advances to make OpenAI’s deployed models safe and beneficial. This requires a breadth of new ML research to address the growing set of safety challenges as AI becomes more powerful and used in more settings. Key focus areas include … field of AI safety, especially in areas like RLHF, adversarial training, robustness, fairness & biases. Hold a Ph.D. or other degree in computer science, machine learning, or a related field. Possess experience in safety work for AI model deployment Have an in-depth understanding of deep learning research ...

retail brand that is investing heavily in customer data, personalisation, and AI to transform how it engages with millions of customers. Data and machine learning are at the heart of their strategy, driving more relevant customer experiences, personalised marketing, and customer-centric decision-making across the business. They … Opportunity As the Data Science Manager, you’ll lead both the technical direction and development of the team, helping shape the roadmap for how machine learning and advanced analytics are used to better understand customers and deliver personalised experiences at scale. You will be responsible for translating complex ...

large language models (LLMs) - such as training, fine‐tuning, evaluation, or safety research. A demonstrated track record of peer‐reviewed publications in top‐tier ML conferences or journals. Ability and experience writing clean, documented research code for machine learning experiments, including experience with ML frameworks like PyTorch … adjacent sciences. Growth & autonomy If you’re talented and driven, you’ll own important problems early. 5 days off and annual stipends for learning and development, and funding for conferences and external collaborations. Freedom to pursue research bets without product pressure. Opportunities to publish and collaborate externally. Life & family ...

post-processing, solver experience, and workflow automation You are a strong programmer: you write clean Python, build data pipelines, and are comfortable in ML/DL frameworks including model training, evaluation, and deployment You can go deep in technical discovery: dive into customer toolchains, data environments, and simulation setups … digital transformations Previous experience working in engineering software companies or using engineering software tools (e.g., Ansys, Altair, Siemens, Dassault Systèmes, or Autodesk) Background in ML/DL research or development in an engineering context Experience automating CAE workflows (scripting, batch processing, surrogate model pipelines) What You Get Work with ...

Technology Ltd is seeking an experienced embedded firmware/systems engineer with expertise in machine learning … machine vision. The role involves working directly with customers to translate requirements into deliverable embedded solutions, using Python, C and C++ with ML frameworks, and developing production-ready code. You will define software architecture, system requirements and use cases, collaborating with the wider team and reporting to the Head ...

research, road-mapping, and engineering work to deliver world models. When assessing technical background, we take a holistic view of the mix of scientific, machine learning, and systems experience. We do not expect applicants to be experts in all fields simultaneously. Artificial intelligence will be one of humanitys … scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Minimum qualifications: PhD in Computer Science, Machine Learning ...

STEM discipline such as Computer Science, Mathematics, Physics, Engineering, or related fields Commercial experience developing machine learning solutions using Python and modern ML frameworks Strong understanding of applied machine learning techniques, particularly around modelling complex systems and large-scale datasets Experience working with time-series, forecasting … work autonomously within a fast-moving environment Interest in applying machine learning to operational, industrial, or physical systems Desirable Experience Experience deploying ML systems into production environments Exposure to scientific machine learning, simulation, or reinforcement learning Familiarity with cloud infrastructure and scalable ML pipelines ...

research, road-mapping, and engineering work to deliver world models. When assessing technical background, we take a holistic view of the mix of scientific, machine learning, and systems experience. We do not expect applicants to be experts in all fields simultaneously. Artificial intelligence will be one of humanity … scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Minimum qualifications: PhD in Computer Science, Machine Learning ...

solutions from concept through to implementation Translate unclear requirements into robust technical designs Build solutions using Python, cloud and modern data technologies Apply AI, machine learning and automation to operational challenges Support digital-twin, data-platform and engineering-application development Lead technical delivery and engage confidently with senior … security and governance requirements What we need Strong data, digital or solution-architecture experience Hands-on Python and data engineering capability Experience with AI, machine learning, automation or digital twins Background in engineering, infrastructure, defence or another complex regulated environment Proven ability to take loosely defined problems through ...

Architect and train models to expand robotic capabilities and prototype concepts.Apply domain expertise in sim-to-real transfer, imitation learning, Vision-Language-Action (VLA) models, multi-sensory learning (tactile, audio), and model optimization (distillation, pruning, quantization).Propose novel ideas, address manipulation hardware requirements, and communicate results to audiences.Minimum … qualifications:PhD degree in a relevant quantitative field (e.g., Robotics, Computer Science, Machine Learning), or equivalent practical experience.5 years of professional research experience in an industrial research and development (R&D) laboratory.3 years of experience designing, training, and scaling reinforcement learning (RL), imitation learning ...

solutions from concept through to implementation Translate unclear requirements into robust technical designs Build solutions using Python, cloud and modern data technologies Apply AI, machine learning and automation to operational challenges Support digital-twin, data-platform and engineering-application development Lead technical delivery and engage confidently with senior … security and governance requirements What we need Strong data, digital or solution-architecture experience Hands-on Python and data engineering capability Experience with AI, machine learning, automation or digital twins Background in engineering, infrastructure, defence or another complex regulated environment Proven ability to take loosely defined problems through ...

solutions from concept through to implementation Translate unclear requirements into robust technical designs Build solutions using Python, cloud and modern data technologies Apply AI, machine learning and automation to operational challenges Support digital-twin, data-platform and engineering-application development Lead technical delivery and engage confidently with senior … security and governance requirements What we need Strong data, digital or solution-architecture experience Hands-on Python and data engineering capability Experience with AI, machine learning, automation or digital twins Background in engineering, infrastructure, defence or another complex regulated environment Proven ability to take loosely defined problems through ...

development and unlocks the full potential of AI for professional engineers. We’re a compact, talent-dense technical team, with deep domain expertise in machine learning, formal verification and mathematical models of program semantics. Join us to develop the next frontier of formal reasoning and software engineering. Proof … degrees of predictability. Our roles require adaptability but, in return, we adapt to the candidate’s strengths. The entry point is depth in either machine learning or formal methods, alongside a strong software engineering background. We’re looking for Domain expertise in either machine learning ...

scale search or ranking systems: web search, feed ranking at a large social platform, or a large ad engine. A background as an engineer, ML engineer, or researcher on a production system in one of those areas. This is a requirement rather than a preference. You will be making tradeoff … align cross-functional stakeholders without formal authority. It will be an added bonus if you have: Depth in information retrieval, NLP, or applied machine learning beyond what the role requires. Experience with index tiering, sharding, freshness pipelines, or cost-per-query optimisation at scale. Experience with hybrid retrieval ...

audiobooks, video, and creator data is trusted, safe, and ready to power innovation across Spotify. Our work spans content governance, platform safety, metadata, and machine learning systems that enable experiences such as Music Quiz , Playlist Mixes , Save to Spotify and SongDNA . Every day, our platform helps teams … creators. As a Principal Product Managers you will own strategy directly. In this role, you’ll shape long-term direction, partner closely with engineering, machine learning, design, and business leaders, and deliver platform capabilities that have company-wide impact. What You'll Do Define and evolve product strategy ...

genetic mechanisms that govern plant phenotypes and the factors that influence gene expression. Familiarity with Linux, bioinformatic tools, and the application of machine learning to genomic/phenotype data is highly desirable. A growth-oriented mindset focused on continuous improvement – evaluating new tools and sparking innovation within … genetic datasets across diverse species. Establish robust phenotyping methods and train junior team members to ensure high-quality data collection at scale. Utilise machine learning and bioinformatic tools to mine proprietary datasets, identifying causal genetics behind key photosynthesis traits. Critically evaluate machine learning/AI outputs ...

with a major healthcare provider based in London, who are seeking a Clinical AI Engineer to design, develop, validate, and deploy artificial intelligence and machine-learning systems for clinical and healthcare applications. The role sits at the intersection of clinical practice, software engineering, data science ...

higher probability of succeeding when they come through us -- thus ensuring higher revenues to all of our merchants. We do this by combining ML/RL and manual knowledge to make routing algorithms that modify a payment's parameters in real-time. This makes for an exciting technical challenge … have to combine high performance (<100ms), reliability (99.99%), and live machine learning, which requires us to be ahead of the market in terms of technology. How you'll make an impactDrive and support our software and infrastructure engineers working on proprietary algorithmsUphold high standards for our uptime ...

brilliant Software Developers/Engineers with upwards of 7 to 10 years solid proven track record of developing complex applications with Python coupled with Machine Learning and ideally Go. We’re looking to recruit initially 2 excellent Software Engineers to work with an existing team of 4 software … developers on a very large strategic consulting engagement. Must be 100% trustworthy with real integrity – this is a highly sensitive project. Key skills Python Machine Learning ideally Terraform Go programming language If you are excellent with developing software with C++ and/or C# etc... then ...

data scientist who’s comfortable building data pipelines bringing together internal and external data to create market leading insights using both classical and ML techniques. This will include looking at demand, renewables and transmission system fundamentals forecasts focussed to begin with on the GB intraday power market. What … concepts; Team player excited at the idea of ownership across lots of different projects and tools; Passion for driving towards Net Zero; Experience with Machine Learning is essential; Experience in the electricity industry in GB would be useful but not required. Why else you’ll love it here ...

models from development to production, ensuring they perform reliably on live customer data. 🎯 What We're Looking For MS or higher in statistics or machine learning, or equivalent experience (3-5 years in the industry). Experience building and evaluating predictive models — you care about accuracy and know … messy and incomplete. Experience taking models to production, not just building them in notebooks. Comfort working in a small team where you own ambiguous ML problems end-to-end. Strong communication skills — you can explain model behaviour and uncertainty to non- technical stakeholders. ✨ Nice to have: Understanding of electrical ...

high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes. … engagement - Work directly with users and customers to understand real-world needs and translate them into well-defined AI problems - Apply modern AI and machine learning techniques using strong Python engineering skills - Build solutions that can operate in secure, constrained or offline environments without reliance on external services ...