1 to 25 of 2,246 Permanent Machine Learning Jobs in England

environment. Ability to write clean, scalable, robust code using python or similar programming languages. Background in software engineering a plus. Knowledge of data governance frameworks and practices. Understanding of machine learning workflows and how to support them with robust data pipelines. DESIRABLE LANGUAGES/TOOLS Proficiency in programming languages such as Python, Java, Scala, or SQL for data More ❯

C# Systems & Tools: Knowledge of or experience with: Linux/Unix operating systems Cloud Technologies (AWS, Azure, Google Cloud) DevOps tools (e.g., Docker, Kubernetes) Version Control Systems (e.g., Git) Machine Learning/AI technologies Software Development: Understanding of software development methodologies, including Agile and DevOps practices. Networking & Cybersecurity: Familiarity with networking protocols, firewalls, VPNs, and cybersecurity practices is More ❯

to clearly communicate complex technicalities to any audience A passionate drive for code quality & results About the Role We are seeking a highly skilled and experienced Senior AI/ML Engineer to join our growing data science team in London (we are 5 at the moment), who is especially passionate about software engineering of the Data science solutions. In this … selecting, filtering, aggregating, and joining data using core clauses, use of CTEs, window functions, subqueries, and data cleaning functions to handle more complex analytical queries Implementation of the foundational ML algorithms, classic NLP techniques, LLM in Python applications More ❯

to use your technical expertise to make a real difference. The Role - Technical Industrial Placement - Space, Defence & Intelligence With CGI, you won't just be a cog in the machine - you'll be trusted with responsibility from the start. Whether you're coding complex software, optimizing cybersecurity protocols, managing next-gen infrastructure, or testing cutting-edge systems, your work … your STEM background to drive innovation. Hands-On Experience: You'll be part of a community that values respect, belonging and continuous development. With mentorship programs and access to learning resource, we're committed to helping you thrive in your career. Why Choose CGI's SDI Sector? For nearly 50 years, CGI has been a key player in Space … ideas are recognised and contribute to the success of the team and the organisation. Be empowered: Start with a structured Early Careers Induction Programme, access 24/7 e-learning, and gain professional certifications to sharpen your expertise. Be Creative: Our Student Kick-start Initiative will give you the chance to work with fellow industrial placements on creative and More ❯

to use your technical expertise to make a real difference. The Role - Technical Industrial Placement - Space, Defence & Intelligence With CGI, you won't just be a cog in the machine - you'll be trusted with responsibility from the start. Whether you're coding complex software, optimizing cybersecurity protocols, managing next-gen infrastructure, or testing cutting-edge systems, your work … your STEM background to drive innovation. Hands-On Experience: You'll be part of a community that values respect, belonging and continuous development. With mentorship programs and access to learning resource, we're committed to helping you thrive in your career. Why Choose CGI's SDI Sector? For nearly 50 years, CGI has been a key player in Space … ideas are recognised and contribute to the success of the team and the organisation. Be empowered: Start with a structured Early Careers Induction Programme, access 24/7 e-learning, and gain professional certifications to sharpen your expertise. Be Creative: Our Student Kick-start Initiative will give you the chance to work with fellow industrial placements on creative and More ❯

to use your technical expertise to make a real difference. The Role - Technical Industrial Placement - Space, Defence & Intelligence With CGI, you won't just be a cog in the machine - you'll be trusted with responsibility from the start. Whether you're coding complex software, optimizing cybersecurity protocols, managing next-gen infrastructure, or testing cutting-edge systems, your work … your STEM background to drive innovation. Hands-On Experience: You'll be part of a community that values respect, belonging and continuous development. With mentorship programs and access to learning resource, we're committed to helping you thrive in your career. Why Choose CGI's SDI Sector? For nearly 50 years, CGI has been a key player in Space … ideas are recognised and contribute to the success of the team and the organisation. Be empowered: Start with a structured Early Careers Induction Programme, access 24/7 e-learning, and gain professional certifications to sharpen your expertise. Be Creative: Our Student Kick-start Initiative will give you the chance to work with fellow industrial placements on creative and More ❯

advance of commencing the interview process with us. Learn more about our culture here . Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they're solving the most exciting and important technological challenges of our times. But as well as smarts, Oxbots have heart. Our More ❯

present solutions Strong project management skills with ability to balance multiple priorities and deliver on time Collaborative mindset with experience working in cross-functional teams Bonus Points Experience with machine learning workflows and MLOps practices Knowledge of real-time streaming data processing (Kafka, Kinesis) Background in consulting or client-facing technical roles Contributions to open-source analytics or More ❯

technology teams, and data scientists, to ensure that final solutions meet requirements. The Lead AI Solutions Engineer is an expert in large language models, Gen AI application implementation and machine learning, and has a passion for creating intelligent systems that automate processes, improve efficiency, and drive business innovation. In this role you will be responsible for: Design and … versioning for AI systems. Mentor and guide junior engineers and cross-functional team members, fostering a culture of technical excellence and collaboration. Stay current with advancements in AI/ML and LLM technologies and proactively identify opportunities to apply them to business challenges. About You: We encourage you to bring your own experience and expertise to the table so, while … to discussing how your individual knowledge might lend itself to fulfilling this role and help us achieve our goals. What you need to have: Proven experience delivering AI/ML solutions in production , with a strong focus on large language models (LLMs) and generative AI. Hands-on expertise with Azure Databricks , including data engineering, model development, and orchestration of ML More ❯

lead the full lifecycle of impactful AI-driven product initiatives, from early discovery to deployment, designed to solve talent management processes for customers. Design, build, and scale production-grade ML systems that extract insights from rich, semi-structured text data. Invent and implement novel models and algorithmic techniques that improve the relevance, performance, and scalability of our talent intelligence and … and robust, user-facing applications. Experiment rapidly and iterate on PoCs, leveraging state-of-the-art models, LLMs and agentic workflows to explore new capabilities and product directions. Leverage machine learning techniques such as LLMs, RAG (retrieval augmented generation) and agentic orchestration frameworks to automate complex decision flows and generate insights from customer data. Mentor and guide a … of talent management-and ready to turn that potential into real, scalable products. We'd love to hear from you if you have: Proven experience delivering end-to-end ML projects, from early experimentation to production deployment. Comfort with ambiguity, and the ability to shape, test, and validate product ideas in fast-moving environments. Deep expertise in NLP and GenAI More ❯

Overview We're seeking a Senior Data Scientist to lead the development of advanced analytics and AI/ML solutions that unlock real value across our business. This is a contract role for 6 months . In this contract role, you'll work with proprietary and B2B research datasets to design, deliver, and scale data-driven products. Collaborating closely with … Delivering significant and valuable analytics projects/assets in industry and/or professional services. Proficiency in programming languages such as Python or R, with extensive experience with LLMs, ML algorithms, and models. Experience with cloud services like Azure ML Studio, Azure Functions, Azure Pipelines, MLflow, Azure Databricks, etc., is a plus. Experience working in Azure/Microsoft environments is … data science. Proven ability to manage and mentor data science teams. Evidence of taking a company or department on a journey from Analytics to Data Science to AI and ML deployed at scale. Ability to translate complex analysis findings into clear narratives and actionable insights. Excellent communication skills, with the ability to listen and collaborate with non-technical and non More ❯

with clients to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and preprocessing to prepare datasets for AI model training. Proven experience in data science and analytics, with a … AI models and make necessary adjustments. Provide training and support to clients on AI tools and best practices. Stay up to date with the latest advancements in AI and machine learning technologies We think you'll be successful in this role if you have some of the following Proven experience in AI and machine learning, with More ❯

with clients to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and preprocessing to prepare datasets for AI model training. Proven experience in data science and analytics, with a … AI models and make necessary adjustments. Provide training and support to clients on AI tools and best practices. Stay up to date with the latest advancements in AI and machine learning technologies We think you'll be successful in this role if you have some of the following Proven experience in AI and machine learning, with More ❯

ideas are recognised and contribute to the success of the team and the organisation. Be Empowered: Start with a structured Early Careers Induction Programme, access 24/7 e-learning, and gain professional certifications to sharpen your expertise. Be Collaborative: Our Student Kick-start Initiative will give you the chance to work with fellow graduates on creative and impactful … Languages C++ Java Python JavaScript C# Systems & Tools Linux/Unix operating systems Cloud Technologies (AWS, Azure, Google Cloud) DevOps tools (e.g., Docker, Kubernetes) Version Control Systems (e.g., Git) Machine Learning/AI technologies Software Development Understanding of software development methodologies, including Agile and DevOps practices. Networking & Cybersecurity Familiarity with networking protocols, firewalls, VPNs, and cybersecurity practices is More ❯

join our AI and Architecture team, contributing to the design, development, and deployment of cutting-edge machine learning systems. In this role, you'll work closely with ML scientists, data engineers, and product teams to help bring innovative solutions-such as retrieval-augmented generation (RAG) systems, multi-agent architectures , and AI agent workflows -into production. As a Senior … including fine-tuning, parameter-efficient training (e.g., LoRA, PEFT), and distillation . Build evaluation pipelines to benchmark LLM performance and continuously monitor production accuracy and relevance. Work across the ML stack-from data preparation and model training to serving and observability-either independently or in collaboration with other specialists. Optimize model pipelines for latency, scalability, and cost-efficiency , and support … learning, evaluation metrics, data preprocessing, and feature engineering. Proven experience building and deploying RAG systems and/or LLM-powered applications in production environments. Proficiency in Python and ML libraries such as PyTorch, Hugging Face Transformers , or TensorFlow. Experience with vector search tools (e.g., FAISS, Pinecone, Weaviate) and retrieval frameworks (e.g., LangChain, LlamaIndex). Hands-on experience with fine More ❯

warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising clients or More ❯

AI/ML Engineer Department: Analytics Employment Type: Permanent Location: Birmingham/Leeds Reporting To: Quantitative Development Manager Compensation: Circa £54,000 Description Contract type: Permanent Hours: Full Time or Part Time; 37.5 hours per week (FTE) Salary: circa £54,000 Location: Leeds or Birmingham office WFH policy: At least two days a week in the office (and or on … to: Quantitative Development Manager Deadline Note: We reserve the right to close the advert before the advertised deadline if there are a high volume of applications. The AI/ML Engineer will play a key role in developing secure, scalable, and impactful AI and machine learning solutions across LCCC. This includes building and improving generative bespoke AI tools … and delivering applied ML use cases that enhance our operations. Working closely with analysts, developers, and technical leads, the AI/ML Engineer will take functional ownership of AI/ML engineering, ensuring solutions are aligned with best practices in software design, security, and maintainability. The role will also contribute to setting foundational MLOps and engineering standards that enable responsible More ❯

AI/ML Engineer Department: Analytics Employment Type: Permanent Location: Birmingham/Leeds Reporting To: Quantitative Development Manager Compensation: Circa £54,000 Description Contract type: Permanent Hours: Full Time or Part Time; 37.5 hours per week (FTE) Salary: circa £54,000 Location: Leeds or Birmingham office WFH policy: At least two days a week in the office (and or on … to: Quantitative Development Manager Deadline Note: We reserve the right to close the advert before the advertised deadline if there are a high volume of applications. The AI/ML Engineer will play a key role in developing secure, scalable, and impactful AI and machine learning solutions across LCCC. This includes building and improving generative bespoke AI tools … and delivering applied ML use cases that enhance our operations. Working closely with analysts, developers, and technical leads, the AI/ML Engineer will take functional ownership of AI/ML engineering, ensuring solutions are aligned with best practices in software design, security, and maintainability. The role will also contribute to setting foundational MLOps and engineering standards that enable responsible More ❯

we are scaling our data science initiatives to the next level. Conexiom's data scientist is a problem-solver, and we are building real-world Machine Learning (ML) solutions in an enterprise product suite to further position Conexiom as a thought leader in the business automation space. You will be working in a fast-paced Agile environment with … a proven ML product already in the market, a strong team and seniors to assist you in taking the next steps in your career. Responsibilities: Experiment with various machine learning algorithms and techniques to identify the most suitable ones for given tasks. Conduct and validate model performance through comprehensive evaluation metrics. Analyze large datasets to extract actionable insights … into production environments, ensuring scalability and reliability. Monitor and maintain the performance of deployed models, making updates and improvements as necessary. Work closely with the data engineer and Principal ML engineer. Stay updated with the latest advancements in machine learning, AI, and data science Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine More ❯

heart of an exciting journey, crafting tools and patterns that are state-of-the-art and transformative. We are the catalysts, enabling the creation and collaboration of cutting-edge ML and AI technologies. Our work is pivotal in shaping the BBC's future, empowering teams across the organisation to explore, innovate, and redefine the landscape of media. Our team is … building out new tools and capabilities to accelerate data science activities and the development of ML/GenAI applications. We enable teams across the BBC to build, collaborate on, manage, and maintain their machine learning platforms at scale. You will play a key role in driving our ambition to build an outstanding software engineering team, environment, and culture. … workshops, and active mentorship of team members. Your Skills And Experience Extensive experience of DevOps/MLOps experience with a strong focus on building and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) - SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in More ❯

customers' personal holiday expert - the smart way to get away. About the team Our Data Science team comprises eight members, including four Senior Data Scientists, two Data Scientists, a Machine Learning Engineer and the Head of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering … a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create solutions to challenging business problems. We prioritise clean, well-tested code with a culture of documentation and knowledge sharing. Our tech stack includes GCP, Python, GitHub, PyTorch, TensorFlow, Scikit-learn, and XGBoost. With mature infrastructure and dedicated teams … implementing sophisticated experiments and models that significantly enhance business performance Expert-level knowledge of machine learning and statistical methods for predictive modelling and forecasting Extensive experience deploying ML models to production at scale with robust monitoring systems Advanced knowledge of SQL and data manipulation techniques Mastery of software engineering best practices including unit testing, CI/CD, model More ❯

and iterative refinement Collaborate with cross-functional teams including researchers, engineers, and external partners to develop, test, and scale innovative digital twin solutions Guide the development and deployment of machine learning models that power real-time, multimodal construction insights Ensure high-quality, maintainable code through robust documentation, testing, and software development best practices Communicate key findings and recommendations … related field 10+ years of experience in Digital construction including 5+ of experience in the specificity of Construction Site Digital Twin or similar research Deep understanding of AI/ML concepts applied to Digital Twin, with extensive hands-on experience in training and fine-tuning models using frameworks such as PyTorch or TensorFlow Proficiency with Generative AI tools such as … GPT, DALL-E, Gemini, and a solid understanding of underlying Machine Learning pipelines Exceptional analytical and problem-solving skills Creative, flexible, and adept at working with new technology Extensive experience in coding (C++, Python) Strong experience with cloud services & architectures (AWS, Azure, etc.) Excellent written communication skills to document code, architectures, and experiments Preferred Qualifications Knowledge of the More ❯

and broader marketing and sales data. These reveal fresh insights for our clients; helping them to build better products and brands, to deliver effective marketing to consumers. Our software, machine learning and AI are key to how we deliver impact, centred on: Natural Language Processing, GPT & other LLMs : unearthing trends, themes and other patterns from large text-based … empower consumer facing businesses and their insights & analytics functions Marketing Data Science & Personalisation : using first party consumer data to understand each client's consumer base, building personalisation and other machine learning models to better engage with and excite consumers Data Engineering & Data Architecture : data engineering across a variety of tools to integrate these leading technologies into optimised and … of an industry-first global analytics programme Develop and deploy automated code pipelines, from data acquisition through cleaning and preparing data for modelling, through to visualisation Help to productionise machine learning models Work closely with a great programme team - project lead, data scientists and analysts - and interface with client technology counterparts Identify ways to improve data reliability, processing More ❯

Foster a culture of innovation, collaboration, and continuous learning within the team. Emerging Technologies: Stay abreast of emerging technologies, tools, and industry trends in data platforms, AI/ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and business teams to identify data … environments and balance long-term strategy with short-term execution. Preferred Qualifications: Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, etc.). Experience with AI/ML technologies and data science platforms. Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (IaC). What can you expect from Mars? Work with diverse and talented Associates … all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all More ❯

Date: July 2025 Company: Fuzzy Labs Job Title: Lead MLOps Engineer Location: Central Manchester Working style: Hybrid Fuzzy Labs are a Manchester based startup that helps our clients productionise machine learning through Open Source MLOps. We exist to help harness and channel the power of AI more quickly, to make positive change and use AI for good. We … code tools. Fluency in our core software tooling: Git, Unix/Linux, Docker. Plus, a strong opinion on your IDE/editor of choice is welcome Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential. Excellent communication skills; both in customer-facing and internal team communication. Knowledge More ❯