26 to 50 of 1,354 Machine Learning Jobs in the UK

Main office in London but have a further 6 worldwide. Work with some of the largest FinTech companies globally. Looking to utilise AI/ML to simplify their processes and products. Award winning business and part of a wider wealth-management group. The Role – Head of Machine Learning … week in the office. Lead a small team of Data Scientists. Mostly technical but small amount of people management. Lead the integration of ML/AI across the company’s core SaaS products. Work with clients & multiple teams to ensure AI solutions are implemented smoothly. Brand new role which offers ...

combines scale, innovation and purpose. As a Machine Learning Engineer, you'll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows … ML issues in live production environments. We're looking for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex ...

Learning Engineer to join our growing team. This is an exciting opportunity for women who want to advance their career in AI/ML, work on meaningful projects, and thrive in a supportive, collaborative environment. What Youll Do: Design, develop, and deploy machine learning models using modern … stakeholders to turn ideas into impactful solutions. Optimize and deploy models with tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate ML solutions into production environments. Monitor and improve model ...

advances in systems and apply their ideas at an unprecedented scale.. Responsibilities: Carry out cutting-edge research to advance the science and technology of machine learning systems. Design methods, tools, and infrastructure to push forward the state of the art in large language models. Collaborate with researchers … team. Publish research results and contribute to research that impacts Client product development. Typical Day in the Role: AI research team Building agents for machine learning and research Automating their own jobs Strong research engineers in machine learning, PHD students Maths, physics, machine learning ...

advances in systems and apply their ideas at an unprecedented scale.. Responsibilities: Carry out cutting-edge research to advance the science and technology of machine learning systems. Design methods, tools, and infrastructure to push forward the state of the art in large language models. Collaborate with researchers … team. Publish research results and contribute to research that impacts Client product development. Typical Day in the Role: AI research team Building agents for machine learning and research Automating their own jobs Strong research engineers in machine learning, PHD students Maths, physics, machine learning ...

advances in systems and apply their ideas at an unprecedented scale.. Responsibilities: Carry out cutting-edge research to advance the science and technology of machine learning systems. Design methods, tools, and infrastructure to push forward the state of the art in large language models. Collaborate with researchers … team. Publish research results and contribute to research that impacts Client product development. Typical Day in the Role: AI research team Building agents for machine learning and research Automating their own jobs Strong research engineers in machine learning, PHD students Maths, physics, machine learning ...

ingestion Marketplace or data aggregation platforms Entity resolution, record linkage or deduplication systems Matching systems or recommendation engines Geospatial or address based data platforms ML systems deployed into production You do not need sector experience, but you should be comfortable working with complex datasets where the same entity appears across … multiple sources. What They Are Looking For Strong Data Science background with hands on machine learning experience Experience deploying ML models into production environments Understanding of data engineering concepts and modern cloud data platforms Architectural thinking around data platforms and ML systems Experience working with messy, multi source ...

Python Software Engineer (Machine Learning AWS) Remote UK to £90k Are you a data savvy Python Software Engineer with experience of implementing ML algorithms into production? You could be progressing your career in a senior, hands-on role as part of a friendly and supportive international team … you. About you: You are a data savvy Python Software Engineer with advanced coding skills You have experience of across the full lifecycle of ML model development including into production You're collaborative, enjoy problem solving and working with others to overcome technical challenges You have a strong knowledge ...

mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative … machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While ...

mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative … machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While ...

mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative … machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While ...

mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative … machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While ...

Redefine What’s Possible. We’re working with an early-stage deep tech company developing a next-generation analytical platform at the intersection of machine learning, mathematics, and experimental science. They … hiring one of their first technical team members, a Machine Learning Research Engineer, to help design and develop the core ML-driven analysis engine that underpins the entire platform. This is not a narrow modelling role. It’s an opportunity to help define the research direction, shape ...

machine learning models in production. Collaborating with data scientists, engineers, and stakeholders to integrate AI solutions into scalable products. Supporting the full ML lifecycle, from experimentation to deployment and optimisation. Applying best practices in data engineering and contributing to architectural decisions. Using modern MLOps tools and CI/… knowledge-sharing and continuous improvement. Technical Experience Were looking for experience in many of the following areas: Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools such as XGBoost, LightGBM ...

drive continuous improvement Collaborate cross functionally with product, engineering, and commercial teams Mentor and elevate a high-performing team of data scientists and ML engineers Contribute to AI strategy, including developments in generative AI Experience 6-12 years' experience in data science, currently operating at Principal level Strong grounding … machine learning fundamentals (supervised learning essential) Proven experience delivering production-grade ML solutions Strong Python and SQL skills Experience with experimentation and data-driven decision making Ability to operate as a hands-on technical leader (not pure management) Advanced degree (Master's or PhD) in a quantitative ...

Machine Learning Engineer (NLP) Location: remote only within the UK Salary: up to £100,000 Job Purpose As a Machine Learning Engineer (NLP), you will work with our small but growing team and play an active role in building our Machine Learning/… infrastructure of our AI-powered design platform. You will apply SOTA NLP techniques to solve complex problems while collaborating with cross-functional teams. As Machine Learning Engineer (NLP), you will be responsible for: Building and deploying NLP models using the latest techniques to solve real business problems ...

tech unicorn, valued at over £1bn, and their position as a market leader in safe, real-world AI. Currently, they are looking to hire ML Engineers for their Lead position in their Retail unit. The ideal candidate will be someone who has done hands-one work as a Lead ML … Proficiency in Python Proficiency with leading cloud platforms Proficiency with Docker and Kubernetes Have mentored engineers If you are interested in this or other ML Engineering positions, please contact Gilad Sabari @ gilad.sabari@xcede.com ...

fast and accurate results • Designing and implementing agentic AI workflows powered by LLMs • Building and maintaining scalable data pipelines • Leading technical decision-making across ML and NLP projects Requirements • 8+ years of commercial engineering and/or data science experience • Experience in technical leadership or leading ML initiatives • Strong Python … programming skills • Commercial experience with machine learning • Experience working in Natural Language Processing (NLP) • Experience training ML models using TensorFlow and/or PyTorch • Experience with search databases (e.g. Elasticsearch, OpenSearch) • Experience with cloud platforms (e.g. AWS) • Willingness to work 3 days per week onsite in London Benefits ...

solutions. Key Responsibilities: Design, build and deploy machine learning and AI solutions for enterprise clients Develop models using Python, PyTorch and modern ML frameworks Work with large datasets to train, evaluate and optimise models Implement and scale solutions on AWS (SageMaker, Bedrock, Lambda, etc.) Contribute to generative … Data Science roles Strong Python programming skills Hands-on experience with PyTorch Experience with Hugging Face transformers or similar frameworks Solid experience deploying ML solutions on AWS Understanding of MLOps, model deployment and performance optimisation Ability to work in a consultancy environment with multiple clients Desirable: Experience with LLMs ...

week. We are happy to discuss flexible working! Top 3 skills needed for this role: Strong hands-on experience with Python, SQL, and core machine learning algorithms Ability to deliver end-to-end data science workstreams Clear communication and stakeholder collaboration skills What this role is all about … Governance, and Risk Management: Apply responsible AI principles and follow model governance frameworks Collaborate to Scale AI Platforms and Infrastructure: Work with engineering and ML teams to deploy models and monitor them in production Maintain, Improve, and Operate Models in Production: Monitor model performance using defined KPIs and raise issues ...

week. We are happy to discuss flexible working! Top 3 skills needed for this role: Strong hands-on experience with Python, SQL, and core machine learning algorithms Ability to deliver end-to-end data science workstreams Clear communication and stakeholder collaboration skills What this role is all about … Governance, and Risk Management: Apply responsible AI principles and follow model governance frameworks Collaborate to Scale AI Platforms and Infrastructure: Work with engineering and ML teams to deploy models and monitor them in production Maintain, Improve, and Operate Models in Production: Monitor model performance using defined KPIs and raise issues ...

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 … critical engineering decisions and impact the scale up of manufacturing operations. Machine Learning Engineer Skills you will use: Strong Mathematical/Statistics background Coding in Python Probabilistic modelling You will learn: To develop Machine Learning models for statistical process control To model and predict performance ...

/d We are seeking a highly skilled and motivated AI Developer with experience in Python, Google Cloud Platform (GCP), Microsoft Azure, and Machine Learning technologies. The ideal candidate will be responsible for developing scalable solutions, deploying machine learning models, and integrating cloud-based services using … cutting-edge technologies. Key Responsibilities: Design, develop, and maintain scalable Python applications. Build and deploy machine learning models on cloud platforms (GCP and Azure). Develop, test, and optimize machine learning algorithms for various business use cases. Implement and manage cloud infrastructure on GCP and Azure ...

Industry: FTSE 100 - Insurance We are seeking a highly skilled and motivated Python Developer with experience in Google Cloud Platform (GCP), Microsoft Azure, and Machine Learning technologies. The ideal candidate will be responsible for developing scalable solutions, deploying machine learning models, and integrating cloud-based services … using cutting-edge technologies. Key Responsibilities Design, develop, and maintain scalable Python applications. Build and deploy machine learning models on cloud platforms (GCP and Azure). Develop, test, and optimize machine learning algorithms for various business use cases. Implement and manage cloud infrastructure ...

Integration Engineer, Machine Learning, Hybrid, COR7508 Are you passionate about AI and excited by the opportunity to shape how it transforms real-world products? Join a forward-thinking team where you'll champion AI adoption and help drive measurable business impact. The Role As an AI Integration Engineer … processes, designing and implementing solutions, and ensuring AI is embedded effectively across the organization. You'll use your expertise with RAG techniques and machine learning to lead initiatives to integrate AI into existing workflows and help evolve the product offering with cutting-edge capabilities. The Company Our client ...