1,576 to 1,600 of 4,246 Machine Learning Jobs in England

test, and maximize the value of a suite of models ranging from LLM's to propensity, classification, and regression models contribute to end-to-end development and deployment of ML and AI models define best practices for a team of highly talented and experienced Data Scientists have the opportunity to work with stakeholders in a high-pace, agile environment that … SB and drive value into SB in partnership with multiple stakeholders We're looking for someone who is: extraordinary with 7+ years of experience as a Data Scientist/ML Engineer, working on classic ML and Data Science problems as well as Generative AI someone who sees Data Science as a product, not just as a series of models adept … about all forms of technology, particularly versed in deployment and software engineering principles proud to have deployed many real-time models able to help us build the future of ML/AI at SB, both hands-on and by training our larger organization to make the most out of real-time modeling We encourage people of all different backgrounds and More ❯

optimisation and modelling. Design, implement, and evaluate proof-of-concept methods and benchmarking experiments using state-of-the-art approaches. Leverage both classical computational biology tools and modern deep learning approaches for tasks such as RNA design, optimization, and molecular modeling. Enhance the understanding of AI model behavior in biological applications by contributing to interpretability and performance analysis. Create … therapeutics. Drive foundational research efforts for the company's biological AI models, including leading projects related to protein-focused foundation models. Requirements PhD in Transcriptomics, Computational Biology, Artificial Intelligence, Machine Learning, or a related scientific field, or equivalent industry experience. Strong programming skills, especially in Python, with hands-on experience using deep learning frameworks such as PyTorch … or similar libraries. Proven experience applying classical and deep learning algorithms to biological problems, ideally in domains such as RNA design, optimization, and molecular modeling. Strong foundation in biology, biochemistry, and/or biophysics, with a clear understanding of molecular biology principles and the structure-function relationships of biological macromolecules. Demonstrated ability to design and execute computational experiments, and More ❯

engineers to define data specifications, support experimentation, and integrate active learning loops that improve AI models over time. REQUIREMENTS 2 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow … collaborating with creative, technical, and legal teams. NICE TO HAVE Experience with Blender scripting, photogrammetry, or NeRF dataset prep. Familiarity with Unity or Unreal Engine pipelines. Understanding of active learning or data augmentation for AI. WHAT THEY OFFER: Hybrid work - 3 days/week from the office Employment contract in the UK Pension program, health and life insurance More ❯

engineers to define data specifications, support experimentation, and integrate active learning loops that improve AI models over time. REQUIREMENTS 2 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow … collaborating with creative, technical, and legal teams. NICE TO HAVE Experience with Blender scripting, photogrammetry, or NeRF dataset prep. Familiarity with Unity or Unreal Engine pipelines. Understanding of active learning or data augmentation for AI. WHAT THEY OFFER: Hybrid work - 3 days/week from the office Employment contract in the UK Pension program, health and life insurance More ❯

engineers to define data specifications, support experimentation, and integrate active learning loops that improve AI models over time. REQUIREMENTS 2 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow … collaborating with creative, technical, and legal teams. NICE TO HAVE Experience with Blender scripting, photogrammetry, or NeRF dataset prep. Familiarity with Unity or Unreal Engine pipelines. Understanding of active learning or data augmentation for AI. WHAT THEY OFFER: Hybrid work - 3 days/week from the office Employment contract in the UK Pension program, health and life insurance More ❯

engineers to define data specifications, support experimentation, and integrate active learning loops that improve AI models over time. REQUIREMENTS 2 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow … collaborating with creative, technical, and legal teams. NICE TO HAVE Experience with Blender scripting, photogrammetry, or NeRF dataset prep. Familiarity with Unity or Unreal Engine pipelines. Understanding of active learning or data augmentation for AI. WHAT THEY OFFER: Hybrid work - 3 days/week from the office Employment contract in the UK Pension program, health and life insurance More ❯

engineers to define data specifications, support experimentation, and integrate active learning loops that improve AI models over time. REQUIREMENTS 2 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow … collaborating with creative, technical, and legal teams. NICE TO HAVE Experience with Blender scripting, photogrammetry, or NeRF dataset prep. Familiarity with Unity or Unreal Engine pipelines. Understanding of active learning or data augmentation for AI. WHAT THEY OFFER: Hybrid work - 3 days/week from the office Employment contract in the UK Pension program, health and life insurance More ❯

and execute a comprehensive development program for all levels of sales leadership, from first-line managers to senior leaders. This includes curriculum design, workshop facilitation, and creating a continuous learning culture Strategic AI Integration: Act as the primary consultant for sales leadership on integrating AI into their management operating rhythm. Identify opportunities where AI can improve forecasting accuracy, strategic … leaders on strategic territory planning, build and inspect sales pipelines, and implement consistent, accurate forecasting cadences to drive predictable revenue AI & Technology Acumen: A strong understanding of how AI, machine learning, and data analytics can be applied to improve sales processes and leadership effectiveness Strategic & Analytical Mindset: Capacity to think strategically, identify complex challenges within a sales organization … and use data to design and measure effective solutions Adaptability and growth mindset: A passion for learning and the ability to thrive in a dynamic, fast-paced environment where technology and buyer behaviors are constantly evolving Leadership Development Expertise: Demonstrated success in designing and implementing impactful leadership development or sales enablement programs Influential Communicator: Exceptional communication, presentation, and interpersonal More ❯

services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging with C-level executives. Please note that this role does not offer More ❯

services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging with C-level executives. Please note that this role does not offer More ❯

for a complete overview of what this job will require Are you the right candidate for this opportunity What you'll be doing Validate and review trade surveillance models (machine learning, statistical, NLP). Configure and dynamically tune third-party systems for market data changes. Perform benchmarking, backtesting, and stress testing in Python. Assess model documentation, conceptual soundness More ❯

services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging with C-level executives. Please note that this role does not offer More ❯

services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging with C-level executives. Please note that this role does not offer More ❯

services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging with C-level executives. Please note that this role does not offer More ❯

value through advanced analytics, statistical modelling, and data storytelling. In a dynamic and collaborative environment, you'll support data-driven decisions across the business. We're committed to continuous learning and development, so you'll have plenty of opportunities to grow your technical and leadership skills while making a real difference. What You'll Do As a Data Scientist … a related analytical field is desirable Experience applying statistical techniques and modelling in a commercial setting (such as regression analysis, time series forecasting and hypothesis testing). Exposure to machine learning methods, including supervised and unsupervised learning, and model evaluation Experience in SQL and Python for advance analytics and modelling (experience with Snowflake, R, GitHub, and Jira More ❯

Machine Learning Solutions Engineer 🌍 Remote (±3h UK time) | 📈 Backed by Creandum & Plural ($25M+ raised) About Unitary Unitary builds AI systems that combine human expertise and intelligent automation to handle complex real-world tasks — from trust & safety to marketplace operations. We already analyse millions of images and videos daily , helping businesses scale safely and efficiently. Our mission: create an … Learning Solutions Engineer to design, build, and deploy AI systems that automate customer workflows. You’ll work end-to-end — understanding client challenges, creating “Virtual Agents” that combine ML and software, and scaling these capabilities across our platform. It’s a hands-on, product-facing role with real ownership and impact. What You’ll Do Design and deliver Virtual … Agents that automate customer processes Build scalable, production-ready AI solutions across the stack (ML, MLOps, DevOps) Collaborate directly with customers and internal teams to drive adoption Contribute to Unitary’s ML platform and community, shaping our future technology What We’re Looking For Strong Python and Machine Learning Engineering experience Curiosity for agentic AI and automation systems More ❯

adaptable, and comfortable in a smaller, fast-moving team environment Excellent communication skills and ability to take ownership of projects Experience delivering actionable insights rather than exploratory or purely machine learning work Interview Process: Remote competency interview and CV review Face-to-face interview with testing component (details to be confirmed) Find out more and apply via the More ❯

Machine Learning Solutions Engineer 🌍 Remote (±3h UK time) | 💰 Competitive salary + equity 📈 Backed by Creandum & Plural ($25M+ raised) About Unitary Unitary builds AI systems that combine human expertise and intelligent automation to handle complex real-world tasks — from trust & safety to marketplace operations. We already analyse millions of images and videos daily , helping businesses scale safely and efficiently. … Learning Solutions Engineer to design, build, and deploy AI systems that automate customer workflows. You’ll work end-to-end — understanding client challenges, creating “Virtual Agents” that combine ML and software, and scaling these capabilities across our platform. It’s a hands-on, product-facing role with real ownership and impact. What You’ll Do Design and deliver Virtual … Agents that automate customer processes Build scalable, production-ready AI solutions across the stack (ML, MLOps, DevOps) Collaborate directly with customers and internal teams to drive adoption Contribute to Unitary’s ML platform and community, shaping our future technology What We’re Looking For Strong Python and Machine Learning Engineering experience Curiosity for agentic AI and automation systems More ❯

Senior Machine Learning Pricing Analyst - Nottingham/Hybrid - £60,000 - £70,000 This is an excellent opportunity within a growing commercial business for a Senior Machine Learning Pricing Analyst to join a thriving team. You will use machine learning and AI-driven analytics through Snowflake to analyse sales and pricing data, and identify lost … analysis to assist the business to drive growth and profitability. Key Areas of the Role: Analyse sales and customer data to identify commercial patterns. Develop and maintain AI/ML models (via Snowflake) that predict customer conversion success. Collaborate with sales, pricing, and commercial teams to develop data-informed pricing strategies. Identify customer segments or pricing bands where win rates … with a commercial focus. Continuously evaluate and improve analytical methods using the latest AI and data science tools. The ideal candidate will have hands-on experience applying and deploying machine learning and AI tools like Python, TensorFlow, scikit-learn, or similar, to commercial pricing problems. Strong communication skills, modelling ability, and familiarity with data visualisation tools such as More ❯

and visualization solutions: Microstrategy, Qlik, PowerBI, Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some More ❯

Machine Learning Solutions Engineer Remote ( 3h UK time) Competitive salary + equity Backed by Creandum & Plural ($25M+ raised) About Unitary Unitary builds AI systems that combine human expertise and intelligent automation to handle complex real-world tasks - from trust & safety to marketplace operations. We already analyse millions of images and videos daily , helping businesses scale safely and efficiently. … Learning Solutions Engineer to design, build, and deploy AI systems that automate customer workflows. You'll work end-to-end - understanding client challenges, creating "Virtual Agents" that combine ML and software, and scaling these capabilities across our platform. It's a hands-on, product-facing role with real ownership and impact. What You'll Do Design and deliver Virtual … Agents that automate customer processes Build scalable, production-ready AI solutions across the stack (ML, MLOps, DevOps) Collaborate directly with customers and internal teams to drive adoption Contribute to Unitary's ML platform and community, shaping our future technology What We're Looking For Strong Python and Machine Learning Engineering experience Curiosity for agentic AI and automation systems More ❯

and visualization solutions: Microstrategy, Qlik, PowerBI, Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some More ❯

and visualization solutions: Microstrategy, Qlik, PowerBI, Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some More ❯

e.g., Census) Knowledge of data privacy regulations (GDPR, ISO 27001) Experience supporting customer-facing analytics features in a multi-tenant SaaS environment Experience building data pipelines for AI and machine learning applications More ❯

users find and engage with products through advanced machine learning models improving search relevance, personalisation, and conversion outcomes at scale. You’ll lead a talented team of ML Scientists and collaborate cross-functionally with product, data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while … for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and develop a team of ML Scientists, fostering a culture of experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and … design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML workflows (including CI/CD, feature management, and monitoring). Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning. Stay More ❯