176 to 200 of 1,380 Machine Learning Jobs

Machine Learning Engineer £Up to £65,000 GBP Competitive Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Machine Learning Engineer Join a high-impact AI and data science consultancy recognised for delivering exceptional outcomes across National Security, Defence, Space, and government sectors ...

What You’ll Do Build and optimise LLM-powered systems Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches Experiment with modern architectures such as Transformers and Mixture-of-Experts Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods … Essential experience Significant experience building, training and deploying machine learning models Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow Experience working with large-scale unstructured data Experience building and deploying production-ready NLP systems Familiarity with API integrations ...

with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires. All three roles sit on the same product, the same stack, and the same mission. The difference … shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps 2. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 3. Staff SE – MLOps/DevOps ...

Platform, and Azure AI to create smarter, more human ways of working. You’ll join a collaborative team that values trust, curiosity, and continuous learning, where your ideas don’t just get heard, they actively shape our direction and the solutions we deliver for our clients. Role Overview This … environments Strong hands‐on experience with Microsoft Fabric, including: Lakehouse, warehouses, pipelines, and semantic models Experience with Azure Machine Learning or equivalent ML platforms Proven ability to design and implement AI and data architectures end‐to‐end Experience building AI‐enabled solutions (LLMs, copilots, intelligent automation) Strong understanding ...

technical specifications Required Skills & Experience Great experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines … processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML workflows (MLOps) Strong programming skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers ...

Staff Software Engineer – AI/ML (Agentic AI) Engineering | UK Remote/London (hybrid) Overview My client is a fast-growing, product-led technology company investing heavily in AI and next-generation machine learning solutions. They are seeking a Staff Software Engineer with experience in agent-based … help design and deliver advanced AI-driven products. The Role This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches. You will play a key role in shaping technical direction ...

models efficiently on Hopper and Blackwell GPU architectures. Maintain steady biweekly progression within our sprint-based research environment. Implement low-latency, real-time inference ML pipelines using tools such as Triton Inference Server, vLLM, or SGLang. Optimise model performance across cloud platforms using frameworks like TensorRT and ONNX. Build … performance optimisation and cloud platform deployment. Strong background in containerisation and orchestration (Docker, K8s, etc.). Demonstrated ability to deploy and scale low-latency ML pipelines in production. Strong oral and written communication skills. ...

Machine Learning Engineer LOCATION- Reading TERM- Permanent SALARY- £60,000 to £90,000 per annum (plus benefits) My client is a technology-focused organisation developing advanced AI and data-driven solutions across a range of industries. They are looking to expand their technical team by hiring a Machine Learning Engineer to support the development and deployment of intelligent systems from t click apply for full job details ...

Your Responsibilities: Design and deliver scalable AI and machine learning solutions across underwriting, risk, and operations Own the end-to-end ML lifecycle, from feature engineering to deployment and monitoring Build and maintain data pipelines and production workflows using Python, TensorFlow, PyTorch, scikit-learn, AWS (S3, Lambda, SageMaker … risk, and responsible AI standards Collaborate with cross-functional teams to translate business needs into practical AI solutions Your Experience: 3+ years experience in machine learning, data science, and software development Proficient in Python and/or R Experience with cloud platforms (e.g. AWS), Linux, and containerised environments ...

school) Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS LEE project, we will use machine learning (ML) along with data from previously solved problem instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Newton … Extend the superstructure to tackle AC-PF problems of different complexities and assess its convergence in inference Investigate scaling and performance bottlenecks Explore hybrid ML-classical approaches, the application of meta learning, and the integration of convex optimization layers Increase inference efficiency (e.g., GPU acceleration) and assess the applicability ...

explain what you do to your family again! In this role you will:? Lead, motivate and inspire teams of Data Scientists? Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods … such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects? Devise reusable ...

few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing … such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research and development to solve business challenges Work collaboratively with other ...

Engineer to design, build, and deploy data-driven models that solve complex problems and enhance real-world performance. You'll work across the full ML lifecycle, collaborating with data, engineering, and product teams to turn ideas into robust, scalable solutions. Responsibilities: Develop, train, and optimise machine learning models … support business and technical objectives. Build and maintain data pipelines, ensuring high-quality, reliable data for model development. Deploy ML models into production environments and monitor their ongoing performance. Work closely with engineers and analysts to integrate models into wider systems and applications. Evaluate model accuracy, stability, and scalability, implementing ...

Demand Consultant - Machine Learning Integration (BPSS) Rate: £90/hr | Mostly WFH (some visits to Walton-on-Thames) Clearance: BPSS We are seeking a SAP IBP Demand Consultant to support the productionisation … external Python-based forecasting algorithm . The role focuses on integrating external forecast outputs into SAP IBP , moving beyond a pure IBP demand ML implementation. The Role Work with SAP IBP Demand modules with a strong statistical/ML background Integrate external forecasting methods into IBP Support promotions planning , ensuring ...

Contract Machine Learning/Data Scientist (SC Cleared) We are seeking an experienced Machine … Learning/Data Scientist for an exciting contract opportunity. This role requires active SC clearance and a strong background in building and deploying ML solutions within cloud environments click apply for full job details ...

intricate business challenges and translation into technical problem statements.. Working with diverse datasets, both internal and external.. Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact.· Provide hands-on technical mentorship and guidance to junior … proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction.· Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures.· Practical experience with ...

Machine Learning Engineer (Python/MLE ) 6 Month Contract £650 - £750 Remote Umbrella Urgent Start We are looking for a number of MLE/Machine Learning Engineers for a critical 6 month contract with a household name click apply for full job details ...

Machine Learning Engineer is required to join a fast growing community of like-minded Engineers at the forefront of next generation manufacturing technology. This is a fantastic opportunity for a Machine Learning Engineer to take on a role leveraging your technical and communication skills to influence ...

www.cirium.com/About the Team: Data Science Core is a key pillar of the Data Organisation. By leveraging the latest advancements in AI and ML, the team paves the way for the future of the business, providing new predictive insights for our products, and new ways of working … internal teams through AI workflows. Our projects are wide ranging, touching every part of Cirium. Our environment supports autonomy, learning, and inclusive collaboration, with an emphasis on delivery at pace. About the Role: The Senior Data Scientist will work closely with both our client-facing and Product teams ...

looking for a Machine Learning … Engineer to design, build, and deploy data-driven models that solve complex problems and enhance real-world performance. You'll work across the full ML lifecycle, collaborating with data, engineering, and product teams to turn ideas into robust, scalable solutions. Responsibilities: Develop, train, and optimise machine learning models ...

Head of AI – 120k – 150k GenAI/Agentic AI – Brighton (Hybrid) – AI-native Scale-up GenAI | Agentic AI | Machine Learning | Python | PyTorch | AI Strategy | LLMs | RAG | MLOps | Leadership |Do you want to lead AI at the core of a truly AI-native business building the next generation … Drive delivery velocity through ambiguity, experimentation and learning You’ll bring: Proven experience leading AI teams delivering commercial products Deep GenAI and classical ML expertise Hands-on experience with Agentic AI, evaluation frameworks, RAG and prompt engineering Strong Python skills (PyTorch, scikit-learn, modern ML frameworks) A commercial mindset ...

quantify outcomes * Collaborate with data engineers, analysts, product managers, and domain experts to translate business requirements into modelling tasks * Build end-to-end ML pipelines, including feature engineering, preprocessing, and deployment-ready outputs * Apply advanced techniques such as NLP, time series forecasting, anomaly detection, optimisation, or LLM/GenAI methods … exploratory data analysis * Familiarity with LLMs, NLP techniques, and GenAI frameworks, including embeddings, prompt engineering, or fine-tuning * Experience building end-to-end ML pipelines, including validation, optimisation, deployment, and monitoring * Understanding of MLOps practices, including model versioning, registries, CI/CD for ML, and automated workflows * Ability to translate ...

this team plays a critical role in defining the next generation of their offering. The Role Lead the end-to-end development of new ML and AI capabilities, from rapid prototyping through to production deployment. Build MVPs and collaborate closely with Engineering and Product teams to bring ideas to life. … scalable systems. Contribute to product strategy through strong experimentation, technical insight, and pragmatic decision-making. Your Skills and Experience Strong experience delivering production-grade ML systems end to end. Proficiency in Python and SQL, with experience working on cloud-scale datasets. Practical experience with LLMs and applied AI, such ...

Contract Duration - 6 months We are looking for talented Research Engineers to join a cutting-edge AI research team focused on advancing machine learning systems and large language models. 🔍 What You’ll Do • Conduct advanced research in machine learning systems • Design tools and infrastructure for next … scale AI models and experiments • Contribute to impactful research and real-world applications ✅ What We’re Looking For • 2+ years of experience in ML, AI, recommendation systems, or related fields • Strong Python skills with frameworks like PyTorch • Experience working with large-scale AI models and datasets • Ability to translate technical ...

making Collaborate with data engineers, analysts, product managers, and domain experts to translate business requirements into well defined modelling tasks Build end to end ML pipelines-from feature engineering and preprocessing to deployment ready model outputs Apply advanced techniques such as NLP, time series forecasting, anomaly detection, optimisation … exploratory data analysis Familiarity with LLMs, NLP techniques, and GenAI frameworks, including embeddings, prompt engineering, or fine tuning Experience building end to end ML pipelines, including model validation, optimisation, deployment, and monitoring Understanding of MLOps practices, including model versioning, model registries, CI/CD for ML, and automated training/ ...