5,026 to 5,050 of 6,600 Machine Learning Jobs in the UK

user journeys and experiences across greenfield initiatives. Introduce and embed product thinking across the wider business. Work on real software applications, including AI and machine learning products, CRM, APIs and SaaS platforms. Help establish and mature a product function that is still evolving. Influence product processes, ways … working within Agile product and engineering teams. Experience working with APIs, SaaS products, CRM platforms or other technology-led products. Exposure to AI/ML products or an interest in working within AI-enabled environments. Experience working with third-party technology vendors or partners. Confidence defining KPIs and measuring product ...

challenges and create valuable products and/or solutions such as insight solutions (inc. BI reporting suites), MarTech/data driven CX solutions or ML/AL solutions (inc, predictive, forecasting, classification and deep learning models). Project Management Excellence - Proven project management experience, including planning, execution, and successful … delivery of Analytics and AI/ML POCs, MVPs and production-grade solutions. Commercial Acumen - Commercial experience including responding to RFP/RFIs, drafting SOWs, costing up engagements and client negotiation. Experience building strong relationships with senior client stakeholders to identify and execute against new sales opportunities. People Manager -People ...

practical plant control systems. Build trust and engagement with process engineers and operators by clearly explaining technical decisions and demonstrating measurable benefits. Collaborate with machine learning engineers to refine algorithms and recommendations based on real‐world outcomes. Support deployment playbooks and templates, ensuring repeatable, scalable, and high‐quality …/PID) systems and process optimisation projects. Familiarity with industrial automation systems (e.g., DCS, PLC, OPC, historian systems). Understanding of AI/ML applications in process control (forecasting, optimisation, anomaly detection) is a plus. Comfortable collaborating with operators, engineers, and data scientists — bridging industrial know‐how with data‐driven ...

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. … 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 ...

user journeys and experiences across greenfield initiatives. Introduce and embed product thinking across the wider business. Work on real software applications, including AI and machine learning products, CRM, APIs and SaaS platforms. Help establish and mature a product function that is still evolving. Influence product processes, ways … working within Agile product and engineering teams. Experience working with APIs, SaaS products, CRM platforms or other technology-led products. Exposure to AI/ML products or an interest in working within AI-enabled environments. Experience working with third-party technology vendors or partners. Confidence defining KPIs and measuring product ...

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. What … 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 ...

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 ...

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 ...

traditional data annotation role. You'll be responsible for developing and improving annotation workflows, maintaining tooling, ensuring dataset quality, and working closely with machine learning engineers to create reliable training data for advanced computer vision models. You'll play a key role in ensuring data quality throughout … machine learning lifecycle, helping improve model accuracy by creating robust, well-structured datasets. Responsibilities Prepare, curate and annotate large-scale image and video datasets. Develop and improve annotation workflows and tooling. Configure and maintain annotation platforms. Create annotation guidelines and documentation. Validate dataset quality and consistency. Perform quality ...

traditional data annotation role. You'll be responsible for developing and improving annotation workflows, maintaining tooling, ensuring dataset quality, and working closely with machine learning engineers to create reliable training data for advanced computer vision models. You'll play a key role in ensuring data quality throughout … machine learning lifecycle, helping improve model accuracy by creating robust, well-structured datasets. Responsibilities Prepare, curate and annotate large-scale image and video datasets. Develop and improve annotation workflows and tooling. Configure and maintain annotation platforms. Create annotation guidelines and documentation. Validate dataset quality and consistency. Perform quality ...

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 ...

Overview Our client is building advanced AI and autonomy technologies that solve some of the most technically challenging problems in computer vision, robotics and machine learning click apply for full job details ...

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 ...

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 ...

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 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 ...

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 ...

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 ...

United Kingdom Type: Permanent An exciting opportunity has arisen for an experienced Senior Data Scientist to work at the forefront of artificial intelligence and machine learning, delivering high-impact digital solutions that contribute to the safety and security of the UK click apply for full job details ...

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 ...

What You'll Do Build machine learning models for robotics control end-to-end: data curation, careful evaluation, model architecture, training/inference stacks, rigorous experiments Collaborate with simulation and real-world robotics teams to curate high-quality, diverse, and large-scale datasets Curate the world’s best … demonstrated excellence in full-stack foundation model research and engineering Exceptional ownership and initiative—finding and solving problems independently Extensive experience pioneering new machine learning ideas or refining existing methods, supported by first-author publications or impactful projects (5+ years) A relentless commitment to data and code quality ...

failure analyses to isolate performance bottlenecks and communicate findings through clear write-ups. Maintain high code quality and architectural health across shared reinforcement learning and modeling codebases. Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, Physics, a related quantitative field, or equivalent practical experience.4 years of experience building … scaling, and debugging machine learning models using deep learning frameworks (e.g., JAX, PyTorch, or TensorFlow).Experience in one core area: Reinforcement Learning (RL), Post-Training (SFT/RLHF/RLAIF), Agentic Tool-Use, or Inference-Time Search. Preferred qualifications: PhD in Computer Science, Machine Learning ...