901 to 925 of 3,675 Machine Learning Jobs in England

Instructor to support delivery across the Machine Learning Engineer (Level 6) Apprenticeship and wider commercial programmes. If you're a passionate technologist who loves bringing complex ML concepts to life — from maths foundations to real-world deployment — this is your chance to make a real impact. What you'll do You'll play a key role in … helping learners and professionals build deep, practical ML capability. Day-to-day, you'll: ? Deliver engaging teaching sessions covering the full ML lifecycle — data prep, model training, evaluation, deployment and monitoring at scale. ? Explain the maths behind ML models (linear algebra, calculus, probability, stats) in an accessible, engaging way. ? Support learners throughout their apprenticeship journey alongside Learner Success Coaches. ? Contribute … delivery meets the standards expected by Ofsted, ESFA and other awarding bodies. What we're looking for You'll need to bring: Strong industry experience in end-to-end ML projects — from data wrangling and model building to deployment and monitoring. Confident teaching ability — whether you've formally taught, mentored or coached technical teams. Mathematical depth — clear understanding of the More ❯

AI Software Developer (Python, JavaScript, ML) - London/Hybrid Day rate: £500 - £800 (inside IR35) Duration: 6 - 12 months Start: ASAP Hybrid: 3 days on site per week My client is looking for a Software Developer with AI, Python and JavaScript experience to join on a contract basis. As a Software Developer - AI, you will focus on the development and … to integrate AI models into digital products, ensuring seamless user experiences. Collaborate with AI specialists to test and deploy models, ensuring they meet performance, security and scalability requirements Continuous Learning and Improvement Stay up to date with the latest AI and machine learning technologies, incorporating new tools and techniques into your development work. Participate in agile team … meetings, providing input on sprint planning, task estimation, and iterative improvements Requirements: 3+ years of experience in software development, with exposure to AI or machine learning projects. Proficient in Python and JavaScript, ideally with hands-on experience in building Gen AI proof of concepts or integrating LLM APIs. Familiarity with AI platforms such as OpenAI, Anthropic, or Databricks. More ❯

ML Ops Engineer – Cloud, Data, and AI Are you passionate about shaping the future of data and cloud technology? We’re partnering with a forward-thinking financial organization investing heavily in its data and AI capabilities — and they’re looking for an experienced ML Ops Engineer to join their growing Data Delivery Team. In this newly created role, you’ll … make a real impact in a growing, collaborative environment. What you’ll be doing: Building and optimizing cloud platforms on AWS and Azure. Automating the deployment and maintenance of ML models and data science tooling. Enabling data labs and environments to support experimentation and innovation. Partnering with cross-functional teams to drive efficiency and deliver scalable, data-driven solutions. What … you’ll bring: Strong ML Ops experience. Proficiency in Python and SQL . Hands-on cloud engineering experience with AWS & Azure (Redshift, Synapse). Familiarity with Terraform, Power BI, and Excel . A proactive, problem-solving mindset with strong collaboration skills. This role offers the chance to work within a progressive, flexible culture where innovation is encouraged and career growth More ❯

ML Ops Engineer – Cloud, Data, and AI Are you passionate about shaping the future of data and cloud technology? We’re partnering with a forward-thinking financial organization investing heavily in its data and AI capabilities — and they’re looking for an experienced ML Ops Engineer to join their growing Data Delivery Team. In this newly created role, you’ll … make a real impact in a growing, collaborative environment. What you’ll be doing: Building and optimizing cloud platforms on AWS and Azure. Automating the deployment and maintenance of ML models and data science tooling. Enabling data labs and environments to support experimentation and innovation. Partnering with cross-functional teams to drive efficiency and deliver scalable, data-driven solutions. What … you’ll bring: Strong ML Ops experience. Proficiency in Python and SQL . Hands-on cloud engineering experience with AWS & Azure (Redshift, Synapse). Familiarity with Terraform, Power BI, and Excel . A proactive, problem-solving mindset with strong collaboration skills. This role offers the chance to work within a progressive, flexible culture where innovation is encouraged and career growth More ❯

life and influence how data & AI transforms industries - we'd love to hear from you. Requirements GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and … innovation - shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data & ML Operations Generative & Agentic AI You'll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead at the forefront … within professional services or a high-growth tech environment. A successful track record of developing and closing £M+ data & AI deals with business stakeholders. Strong expertise in AI/ML market offerings and related solutions (Gen AI, Agentic AI, ML Ops, Model Ops) as well as one or more other core technology areas - such as modern data platforms, data product More ❯

life and influence how data & AI transforms industries - we'd love to hear from you. Requirements GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and … innovation - shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data & ML Operations Generative & Agentic AI You'll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead at the forefront … within professional services or a high-growth tech environment. A successful track record of developing and closing £M+ data & AI deals with business stakeholders. Strong expertise in AI/ML market offerings and related solutions (Gen AI, Agentic AI, ML Ops, Model Ops) as well as one or more other core technology areas - such as modern data platforms, data product More ❯

JOB VACANCY GLOBAL LOGIC Company: Global Logic Job Title: GTM Solutions Architect, AI/ML - Intelligent Enterprise Location: United Kingdom - Edinburgh, London, Manchester Working style: Hybrid You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and thought leadership. This is more than a sales-adjacent role - it's your opportunity to shape the future of data … life and influence how data & AI transforms industries - we'd love to hear from you. Requirements GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and … innovation - shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data & ML Operations Generative & Agentic AI You'll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead at the forefront More ❯

JOB VACANCY GLOBAL LOGIC Company: Global Logic Job Title: GTM Solutions Architect, AI/ML - Intelligent Enterprise Location: United Kingdom - Edinburgh, London, Manchester Working style: Hybrid You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and thought leadership. This is more than a sales-adjacent role - it's your opportunity to shape the future of data … life and influence how data & AI transforms industries - we'd love to hear from you. Requirements GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and … innovation - shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data & ML Operations Generative & Agentic AI You'll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead at the forefront More ❯

ML & Cloud Infrastructure Engineer - Pioneering AI in 3D London (1-2 Days per week in Office) Up to £200,000 (Potentially more) + Equity I'm working with a cutting-edge startup that's building a frontier 3D foundation model at the intersection of AI, computer vision, and spatial computing. Their mission is bold: to transform industries like robotics, AR …/VR, gaming, and film by redefining how 3D content is generated and experienced. They're now looking for a ML & Cloud Infrastructure Engineer who can design, build, and maintain the backbone that powers these ambitious workloads. This is an opportunity to be part of a deep-tech team at the forefront of the AI revolution in 3D . Why … this role? Impact: You'll create the infrastructure that makes advanced ML and 3D workloads possible at scale. Ownership: Full responsibility for cloud deployment, orchestration, and distributed ML pipelines. Innovation: Join a team of bold thinkers working on first-of-its-kind technology. Growth: Be part of a fast-moving startup where your work directly drives the product vision. What More ❯

Senior Data & ML Engineer? Cardiff/London? £90,000 - £100,000 DOE What You'll Do: Take the lead on building and scaling large-scale web scraping and data ingestion systems that form the core of an AI-driven product suite used by major enterprise clients. From crawling hundreds of dynamic sources to powering downstream LLM features, your work will … Generation (RAG) and fine-tuned LLMs. What You'll Bring: Deep hands-on experience with web scraping tools and frameworks (Scrapy, Playwright, Puppeteer, etc.) 5+ years in data engineering, ML engineering, or similar technical roles Strong Python skills and comfort working across complex ingestion workflows Experience managing NoSQL and vector databases at scale (MongoDB, Weaviate, Pinecone, etc.) Solid understanding of More ❯

Associate Director, IT Infrastructure – HPC/Bioinformatics/ML Location: Roslin Innovation Centre, Edinburgh/UK Remote(Hybrid) Abercorn Sinclair is proud to partner with Asklepios Biopharmaceutical (AskBio) as they look to appoint an Associate Director of IT Infrastructure to their Global IT team in Edinburgh. The Company AskBio Inc., a wholly owned and independently operated subsidiary of Bayer AG … in support of cutting-edge gene therapy research. This role will sit at the heart of our global technology leadership team, working closely with colleagues in Bioinformatics, AI/ML, and Global IT. You will be responsible for the strategic direction, day-to-day operations, and ongoing evolution of our high-performance computing (HPC) and research data platforms. The successful … and disaster recovery planning. Strong communication skills, with the ability to collaborate across technical and scientific teams. Desirable: Experience in biotech, pharma, or research environments. Familiarity with AI/ML infrastructure and bioinformatics workflows. Knowledge of WEKA storage, VMware vSphere, containerisation (Docker, Kubernetes), and cloud platforms (AWS, Azure). ITIL or security certifications (CISSP, CISM, etc.). Experience with GxP More ❯

Role: Full Stack Commerce Engineer (Generative AI/ML) Location: London, UK Salary: Competitive salary and package dependent on experience Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, song, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of … agentic workflows in Python and integrating LLMs from Nvidia, Writer, OpenAI/ChatGPT, and Google Gemini. Integrate with the Commerce Ecosystem : Architect data flows and integrations between AI/ML models and enterprise experience platforms, understanding how to leverage AI to structure and enrich data for PXM, CDP, and other systems. Manage Advanced Databases : Design and implement robust database solutions More ❯

re looking for an experienced C++/Python Developer with strong GPU integration experience to support the integration of a Python-based application into GPU kernels, helping accelerate complex ML workloads and workflows. This is a hands-on contract role for someone who thrives at the intersection of high-performance C++ development , machine learning , and infrastructure automation - working … memory management. Build and maintain containerised development and deployment workflows using Docker. Develop APIs and integrate with existing machine learning pipelines and back-end systems. Collaborate with ML engineers and DevOps teams to streamline model deployment and runtime performance. (Desirable) Integrate large language models (LLMs) such as ChatGPT or similar into products and services. Skills & Experience Required Essential … . Strong knowledge of GPU programming , memory management , and performance optimisation . Experience dockerising applications and working with container-based workflows. Experience building and integrating APIs for data or ML services. Strong understanding of machine learning pipelines and integration between data science and production environments. UK-based and available for remote contract work. Desirable: Experience with LLM integration More ❯

re looking for an experienced C++/Python Developer with strong GPU integration experience to support the integration of a Python-based application into GPU kernels, helping accelerate complex ML workloads and workflows. This is a hands-on contract role for someone who thrives at the intersection of high-performance C++ development , machine learning , and infrastructure automation - working … memory management. Build and maintain containerised development and deployment workflows using Docker. Develop APIs and integrate with existing machine learning pipelines and back-end systems. Collaborate with ML engineers and DevOps teams to streamline model deployment and runtime performance. (Desirable) Integrate large language models (LLMs) such as ChatGPT or similar into products and services. Skills & Experience Required Essential … . Strong knowledge of GPU programming , memory management , and performance optimisation . Experience dockerising applications and working with container-based workflows. Experience building and integrating APIs for data or ML services. Strong understanding of machine learning pipelines and integration between data science and production environments. UK-based and available for remote contract work. Desirable: Experience with LLM integration More ❯

Data Scientist, Machine Learning Engineer, ML Engineer, Data Science Engineer, High-Performance Engineering, Python, Data, Pandas, numpy, scikit-learn, pytorch - Oxford - up to 55K About the Role: Join an elite engineering organisation's Software Engineering & Data team, where you'll develop cutting-edge machine learning solutions that directly impact performance at the highest level of competition. … work alongside Software and Platform Engineers, tackling complex technical challenges from design and manufacture through to live performance analysis. You'll be responsible for proposing, developing, implementing, and maintaining ML-based solutions while collaborating closely with engineering teams across the business. Key Responsibilities: Propose, develop, and deploy machine learning solutions for complex technical problems Communicate with engineering teams … science pipelines Share knowledge and collaborate across the team Essential Requirements: BSc or MSc degree in a relevant field for Data Science 2+ years development experience in Python and machine learning techniques (production or laboratory) Strong knowledge of Python data science packages: Pandas, numpy, scikit-learn, pytorch Experience with Machine Learning techniques: Neural Networks, XGBoost Understanding More ❯

with long term potential Global Retail business is looking for a Data Scientist to join their advanced data science team. This is an exciting opportunity to apply cutting-edge machine learning techniques to real-world problems, driving innovation and value across a data-rich business environment. Key Responsibilities: Design … build, and deploy data science solutions to support business initiatives, with a focus on machine learning and time series forecasting. Collaborate with cross-functional teams to integrate ML models into production systems using modern cloud platforms. Communicate insights and model outputs to stakeholders in a clear, actionable way. Key Skills & Experience: Proven experience working as a Data Scientist … such as Pandas, Scikit-Learn, Jupyter, and Matplotlib. Proficient in SQL for data extraction and transformation. Experience with Google Cloud Platform (GCP) and Vertex AI for developing and deploying ML services is highly desirable. Solid understanding of time series analysis and forecasting techniques. Strong foundation in computer science principles - data structures, algorithms, software architecture, and data modelling. Deep understanding of More ❯

through predictive analytics and insights across all brands and channels. You'll develop recommendation systems and predictive models that support global marketing and CRM strategies. Responsibilities Lead development of machine learning solutions for CRM personalisation Build and optimise recommendation engines using neural networks and deep learning Collaborate with CRM and regional marketing teams to align with campaign … machine learning, particularly in recommendation systems and deep learning architectures Strong understanding of two-tower neural networks, embedding techniques, and ranking models Proficiency in Python and ML libraries (e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku Experience with ML Ops, including deployment, monitoring, and retraining pipelines More ❯

of advanced analytics and machine learning solutions that drive real business value. 🔍 What You’ll Do Design, develop, and deploy machine learning models using Azure ML Studio and Python Translate complex data into actionable insights through Power BI dashboards and compelling storytelling Collaborate across teams to deliver secure, scalable, and responsible AI/ML solutions Monitor … model performance, manage drift, and implement retraining strategies Lead the development of AI/ML proof-of-concepts and evaluate their business value 🧠 What You will Bring Extensive experience with Python and data science Python packages (e.g. scikit-learn, pandas, numpy, etc). (LEAD) Understanding of data science concepts, AI/ML models, evaluation approaches, and data science applications to … enhance business processes. (LEAD) Proven hands-on experience in Microsoft Azure ML Studio. (LEAD) Experience using business intelligence tools, preferably Power BI. Experience applying Generative AI and prompting techniques. Strong understanding of data governance, model observability, and compliance frameworks. Proven ability to deliver secure, scalable, and responsible data science solutions. Excellent communication and presentation skills. Extensive experience working collaboratively with More ❯

of advanced analytics and machine learning solutions that drive real business value. 🔍 What You’ll Do Design, develop, and deploy machine learning models using Azure ML Studio and Python Translate complex data into actionable insights through Power BI dashboards and compelling storytelling Collaborate across teams to deliver secure, scalable, and responsible AI/ML solutions Monitor … model performance, manage drift, and implement retraining strategies Lead the development of AI/ML proof-of-concepts and evaluate their business value 🧠 What You will Bring Extensive experience with Python and data science Python packages (e.g. scikit-learn, pandas, numpy, etc). (LEAD) Understanding of data science concepts, AI/ML models, evaluation approaches, and data science applications to … enhance business processes. (LEAD) Proven hands-on experience in Microsoft Azure ML Studio. (LEAD) Experience using business intelligence tools, preferably Power BI. Experience applying Generative AI and prompting techniques. Strong understanding of data governance, model observability, and compliance frameworks. Proven ability to deliver secure, scalable, and responsible data science solutions. Excellent communication and presentation skills. Extensive experience working collaboratively with More ❯

of advanced analytics and machine learning solutions that drive real business value. 🔍 What You’ll Do Design, develop, and deploy machine learning models using Azure ML Studio and Python Translate complex data into actionable insights through Power BI dashboards and compelling storytelling Collaborate across teams to deliver secure, scalable, and responsible AI/ML solutions Monitor … model performance, manage drift, and implement retraining strategies Lead the development of AI/ML proof-of-concepts and evaluate their business value 🧠 What You will Bring Extensive experience with Python and data science Python packages (e.g. scikit-learn, pandas, numpy, etc). (LEAD) Understanding of data science concepts, AI/ML models, evaluation approaches, and data science applications to … enhance business processes. (LEAD) Proven hands-on experience in Microsoft Azure ML Studio. (LEAD) Experience using business intelligence tools, preferably Power BI. Experience applying Generative AI and prompting techniques. Strong understanding of data governance, model observability, and compliance frameworks. Proven ability to deliver secure, scalable, and responsible data science solutions. Excellent communication and presentation skills. Extensive experience working collaboratively with More ❯

of advanced analytics and machine learning solutions that drive real business value. 🔍 What You’ll Do Design, develop, and deploy machine learning models using Azure ML Studio and Python Translate complex data into actionable insights through Power BI dashboards and compelling storytelling Collaborate across teams to deliver secure, scalable, and responsible AI/ML solutions Monitor … model performance, manage drift, and implement retraining strategies Lead the development of AI/ML proof-of-concepts and evaluate their business value 🧠 What You will Bring Extensive experience with Python and data science Python packages (e.g. scikit-learn, pandas, numpy, etc). (LEAD) Understanding of data science concepts, AI/ML models, evaluation approaches, and data science applications to … enhance business processes. (LEAD) Proven hands-on experience in Microsoft Azure ML Studio. (LEAD) Experience using business intelligence tools, preferably Power BI. Experience applying Generative AI and prompting techniques. Strong understanding of data governance, model observability, and compliance frameworks. Proven ability to deliver secure, scalable, and responsible data science solutions. Excellent communication and presentation skills. Extensive experience working collaboratively with More ❯

of advanced analytics and machine learning solutions that drive real business value. 🔍 What You’ll Do Design, develop, and deploy machine learning models using Azure ML Studio and Python Translate complex data into actionable insights through Power BI dashboards and compelling storytelling Collaborate across teams to deliver secure, scalable, and responsible AI/ML solutions Monitor … model performance, manage drift, and implement retraining strategies Lead the development of AI/ML proof-of-concepts and evaluate their business value 🧠 What You will Bring Extensive experience with Python and data science Python packages (e.g. scikit-learn, pandas, numpy, etc). (LEAD) Understanding of data science concepts, AI/ML models, evaluation approaches, and data science applications to … enhance business processes. (LEAD) Proven hands-on experience in Microsoft Azure ML Studio. (LEAD) Experience using business intelligence tools, preferably Power BI. Experience applying Generative AI and prompting techniques. Strong understanding of data governance, model observability, and compliance frameworks. Proven ability to deliver secure, scalable, and responsible data science solutions. Excellent communication and presentation skills. Extensive experience working collaboratively with More ❯

seeking a Data Scientist to support a high-impact AI initiative within a commercial banking environment. This role sits within a collaborative delivery team focused on advanced analytics and machine learning solutions that drive strategic insights and operational efficiency. Responsibilities Collect, clean, and preprocess structured and unstructured data from diverse sources Perform exploratory data analysis (EDA … to uncover trends and anomalies Design and implement data pipelines in collaboration with data engineering teams Apply feature engineering and selection techniques to enhance model performance Build and validate ML models for prediction, classification, clustering, and optimization Use libraries such as Scikit-learn, TensorFlow, and PyTorch for supervised and unsupervised learning Implement NLP, time-series forecasting, and optimization algorithms … Participate in Agile ceremonies and contribute to the enterprise AI roadmap Required Skills Proven experience in data science and machine learning Strong Python skills and familiarity with ML libraries (Scikit-learn, TensorFlow, PyTorch) Experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn) Ability to translate complex model outputs into actionable business insights Excellent communication skills with both More ❯

seeking a Data Scientist to support a high-impact AI initiative within a commercial banking environment. This role sits within a collaborative delivery team focused on advanced analytics and machine learning solutions that drive strategic insights and operational efficiency. Responsibilities Collect, clean, and preprocess structured and unstructured data from diverse sources Perform exploratory data analysis (EDA … to uncover trends and anomalies Design and implement data pipelines in collaboration with data engineering teams Apply feature engineering and selection techniques to enhance model performance Build and validate ML models for prediction, classification, clustering, and optimization Use libraries such as Scikit-learn, TensorFlow, and PyTorch for supervised and unsupervised learning Implement NLP, time-series forecasting, and optimization algorithms … Participate in Agile ceremonies and contribute to the enterprise AI roadmap Required Skills Proven experience in data science and machine learning Strong Python skills and familiarity with ML libraries (Scikit-learn, TensorFlow, PyTorch) Experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn) Ability to translate complex model outputs into actionable business insights Excellent communication skills with both More ❯

building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Duties Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake … secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Abilty to Design, Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights. Design, Monitor and optimize data pipelines and … including Azure Data Lake Storage, Databricks, and Azure Data Factory. Excellent problem-solving and analytical skills and strong communication and teamwork skills. Passion for data and a thirst for learning and is either already a Databricks champion or working towards it Relevant Architecture certifications from Mircosft and Databricks More ❯