1,351 to 1,375 of 4,217 Machine Learning Jobs in England

C++/Embedded Software/ML/Machine Learning/Python Senior/Lead Software Engineer – AI/ML Foundation Model | Future CTO Potential Role: Senior Software Engineer Location: West London - 3/4 days per week Sector: Artificial Intelligence | Physical Engineering | High-Performance Computing Type: Full-time | Permanent Salary: up to £150,000 + Equity options About … hirers and will play a pivotal role in shaping the company’s technology strategy, architecture, and engineering culture. Key Responsibilities Design, build, and optimise scalable, high-performance systems for ML-driven automation. Lead the development and deployment of next-generation control software solutions. Collaborate with the founding team to define technical strategy, architecture, and infrastructure. Contribute to end-to-end … to or interest in machine learning frameworks (e.g., PyTorch, TensorFlow) — not essential but beneficial. Building and scaling complex systems end-to-end. C++/Embedded Software/ML/Machine Learning/Python More ❯

C++/Embedded Software/ML/Machine Learning/Python Senior/Lead Software Engineer – AI/ML Foundation Model | Future CTO Potential Role: Senior Software Engineer Location: West London - 3/4 days per week Sector: Artificial Intelligence | Physical Engineering | High-Performance Computing Type: Full-time | Permanent Salary: up to £150,000 + Equity options About … hirers and will play a pivotal role in shaping the company’s technology strategy, architecture, and engineering culture. Key Responsibilities Design, build, and optimise scalable, high-performance systems for ML-driven automation. Lead the development and deployment of next-generation control software solutions. Collaborate with the founding team to define technical strategy, architecture, and infrastructure. Contribute to end-to-end … to or interest in machine learning frameworks (e.g., PyTorch, TensorFlow) — not essential but beneficial. Building and scaling complex systems end-to-end. C++/Embedded Software/ML/Machine Learning/Python More ❯

AI Engineer Up to £90,000 Salary Southern England x2 days per month OVERVIEW Xcede’s Data-driven Insurance client with an excellent Data Science, ML Engineering and MLOps team is hiring for an AI Engineer to join their AI unit. The organisation have been building commercially successful Data Science products for years, and are now pushing further into Generative … AI with multiple LLM-based projects in production across the company. In this role you will be responsible for building and deploying production level ML models for a breadth of interesting commercial projects. The role is end to end focused. Your responsibilities as a Machine Learning Engineer will include but not be limited to: Developing and deploying predictive … a particular focus on LLMs and RAGs. Collaborate with cross-functional commercial and business teams, to understand business requirements and identify opportunities for deploying statistical models. Building production level Machine Learning models and be hands on in deployment. Evaluating and select appropriate machine learning techniques and algorithms for solving commercial challenges. YOUR SKILLS & EXPERIENCE A successful More ❯

re hiring a Senior MLOps Engineer to join a fast-growing AI consultancy based in Manchester City Centre (3 days on-site). If you're passionate about productionising machine learning and want to work on real-world AI challenges, this could be the role for you. What you'll be doing: Collaborating with clients to deploy and scale ML models Working closely with DS/ML teams in a highly collaborative, pair-programming environment Taking ownership of features and running sprint planning sessions Contributing to projects across research, prototyping … looking for: 3+ years of experience in a Data Science/Machine Learning/Engineering role Strong Python skills and experience writing production-grade code Familiarity with ML frameworks (TensorFlow, PyTorch, Keras, SKLearn) Proficiency with Git, Unix/Linux, Docker Cloud experience (AWS, Azure, or similar) Excellent communication skills UK citizen eligible for SC clearance Nice to have More ❯

re hiring a Senior MLOps Engineer to join a fast-growing AI consultancy based in Manchester City Centre (3 days on-site). If you're passionate about productionising machine learning and want to work on real-world AI challenges, this could be the role for you. What you’ll be doing: Collaborating with clients to deploy and scale ML models Working closely with DS/ML teams in a highly collaborative, pair-programming environment Taking ownership of features and running sprint planning sessions Contributing to projects across research, prototyping … looking for: 3+ years of experience in a Data Science/Machine Learning/Engineering role Strong Python skills and experience writing production-grade code Familiarity with ML frameworks (TensorFlow, PyTorch, Keras, SKLearn) Proficiency with Git, Unix/Linux, Docker Cloud experience (AWS, Azure, or similar) Excellent communication skills UK citizen eligible for SC clearance Nice to have More ❯

re hiring a Senior MLOps Engineer to join a fast-growing AI consultancy based in Manchester City Centre (3 days on-site). If you're passionate about productionising machine learning and want to work on real-world AI challenges, this could be the role for you. What you’ll be doing: Collaborating with clients to deploy and scale ML models Working closely with DS/ML teams in a highly collaborative, pair-programming environment Taking ownership of features and running sprint planning sessions Contributing to projects across research, prototyping … looking for: 3+ years of experience in a Data Science/Machine Learning/Engineering role Strong Python skills and experience writing production-grade code Familiarity with ML frameworks (TensorFlow, PyTorch, Keras, SKLearn) Proficiency with Git, Unix/Linux, Docker Cloud experience (AWS, Azure, or similar) Excellent communication skills UK citizen eligible for SC clearance Nice to have More ❯

re hiring a Senior MLOps Engineer to join a fast-growing AI consultancy based in Manchester City Centre (3 days on-site). If you're passionate about productionising machine learning and want to work on real-world AI challenges, this could be the role for you. What you’ll be doing: Collaborating with clients to deploy and scale ML models Working closely with DS/ML teams in a highly collaborative, pair-programming environment Taking ownership of features and running sprint planning sessions Contributing to projects across research, prototyping … looking for: 3+ years of experience in a Data Science/Machine Learning/Engineering role Strong Python skills and experience writing production-grade code Familiarity with ML frameworks (TensorFlow, PyTorch, Keras, SKLearn) Proficiency with Git, Unix/Linux, Docker Cloud experience (AWS, Azure, or similar) Excellent communication skills UK citizen eligible for SC clearance Nice to have More ❯

Security and Defence Consultancy client. Must have active DV Clearance Up to £85k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with DV Clearance for a prestigious client to work on a portfolio … ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components Provide practical client solutions Assist … proposal crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical problem-solving skills Effective communication of complex technical 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

the Role We are seeking an experienced Senior Security Consultant (AI Specialist) to lead the design, strategy, and implementation of secure architectures for AI and machine learning (ML) systems. This senior-level role sits at the intersection of cybersecurity and advanced technology, shaping enterprise security frameworks and ensuring responsible and compliant use of AI across large-scale environments. … You’ll play a strategic role in defining AI/ML security standards, performing risk assessments, and ensuring compliance with key regulations such as GDPR and the EU AI Act. As a thought leader in this space, you’ll influence enterprise-wide security architecture decisions and help guide innovation responsibly and securely. Key Responsibilities Define and deliver enterprise-level AI …/ML security strategies, policies, and standards. Architect secure AI/ML models, platforms, and pipelines, embedding security throughout the lifecycle. Lead AI risk assessments and develop mitigation frameworks for complex and emerging threats. Oversee AI security testing, adversarial validation, and ongoing risk monitoring. Ensure AI compliance with data privacy and regulatory frameworks (GDPR, EU AI Act, ISO 27001). More ❯

the Role We are seeking an experienced Senior Security Consultant (AI Specialist) to lead the design, strategy, and implementation of secure architectures for AI and machine learning (ML) systems. This senior-level role sits at the intersection of cybersecurity and advanced technology, shaping enterprise security frameworks and ensuring responsible and compliant use of AI across large-scale environments. … You’ll play a strategic role in defining AI/ML security standards, performing risk assessments, and ensuring compliance with key regulations such as GDPR and the EU AI Act. As a thought leader in this space, you’ll influence enterprise-wide security architecture decisions and help guide innovation responsibly and securely. Key Responsibilities Define and deliver enterprise-level AI …/ML security strategies, policies, and standards. Architect secure AI/ML models, platforms, and pipelines, embedding security throughout the lifecycle. Lead AI risk assessments and develop mitigation frameworks for complex and emerging threats. Oversee AI security testing, adversarial validation, and ongoing risk monitoring. Ensure AI compliance with data privacy and regulatory frameworks (GDPR, EU AI Act, ISO 27001). More ❯

the Role We are seeking an experienced Senior Security Consultant (AI Specialist) to lead the design, strategy, and implementation of secure architectures for AI and machine learning (ML) systems. This senior-level role sits at the intersection of cybersecurity and advanced technology, shaping enterprise security frameworks and ensuring responsible and compliant use of AI across large-scale environments. … You'll play a strategic role in defining AI/ML security standards, performing risk assessments, and ensuring compliance with key regulations such as GDPR and the EU AI Act. As a thought leader in this space, you'll influence enterprise-wide security architecture decisions and help guide innovation responsibly and securely. Key Responsibilities Define and deliver enterprise-level AI …/ML security strategies, policies, and standards. Architect secure AI/ML models, platforms, and pipelines, embedding security throughout the lifecycle. Lead AI risk assessments and develop mitigation frameworks for complex and emerging threats. Oversee AI security testing, adversarial validation, and ongoing risk monitoring. Ensure AI compliance with data privacy and regulatory frameworks (GDPR, EU AI Act, ISO 27001). More ❯

the Role We are seeking an experienced Senior Security Consultant (AI Specialist) to lead the design, strategy, and implementation of secure architectures for AI and machine learning (ML) systems. This senior-level role sits at the intersection of cybersecurity and advanced technology, shaping enterprise security frameworks and ensuring responsible and compliant use of AI across large-scale environments. … You’ll play a strategic role in defining AI/ML security standards, performing risk assessments, and ensuring compliance with key regulations such as GDPR and the EU AI Act. As a thought leader in this space, you’ll influence enterprise-wide security architecture decisions and help guide innovation responsibly and securely. Key Responsibilities Define and deliver enterprise-level AI …/ML security strategies, policies, and standards. Architect secure AI/ML models, platforms, and pipelines, embedding security throughout the lifecycle. Lead AI risk assessments and develop mitigation frameworks for complex and emerging threats. Oversee AI security testing, adversarial validation, and ongoing risk monitoring. Ensure AI compliance with data privacy and regulatory frameworks (GDPR, EU AI Act, ISO 27001). More ❯

the Role We are seeking an experienced Senior Security Consultant (AI Specialist) to lead the design, strategy, and implementation of secure architectures for AI and machine learning (ML) systems. This senior-level role sits at the intersection of cybersecurity and advanced technology, shaping enterprise security frameworks and ensuring responsible and compliant use of AI across large-scale environments. … You’ll play a strategic role in defining AI/ML security standards, performing risk assessments, and ensuring compliance with key regulations such as GDPR and the EU AI Act. As a thought leader in this space, you’ll influence enterprise-wide security architecture decisions and help guide innovation responsibly and securely. Key Responsibilities Define and deliver enterprise-level AI …/ML security strategies, policies, and standards. Architect secure AI/ML models, platforms, and pipelines, embedding security throughout the lifecycle. Lead AI risk assessments and develop mitigation frameworks for complex and emerging threats. Oversee AI security testing, adversarial validation, and ongoing risk monitoring. Ensure AI compliance with data privacy and regulatory frameworks (GDPR, EU AI Act, ISO 27001). More ❯

the Role We are seeking an experienced Senior Security Consultant (AI Specialist) to lead the design, strategy, and implementation of secure architectures for AI and machine learning (ML) systems. This senior-level role sits at the intersection of cybersecurity and advanced technology, shaping enterprise security frameworks and ensuring responsible and compliant use of AI across large-scale environments. … You’ll play a strategic role in defining AI/ML security standards, performing risk assessments, and ensuring compliance with key regulations such as GDPR and the EU AI Act. As a thought leader in this space, you’ll influence enterprise-wide security architecture decisions and help guide innovation responsibly and securely. Key Responsibilities Define and deliver enterprise-level AI …/ML security strategies, policies, and standards. Architect secure AI/ML models, platforms, and pipelines, embedding security throughout the lifecycle. Lead AI risk assessments and develop mitigation frameworks for complex and emerging threats. Oversee AI security testing, adversarial validation, and ongoing risk monitoring. Ensure AI compliance with data privacy and regulatory frameworks (GDPR, EU AI Act, ISO 27001). More ❯

will work collaboratively with other Data Scientists, Software Engineers, Product and Engagement Managers on projects specific to our Japanese customers. You will not only lead the development of sophisticated ML models but also shape the future of our AI capabilities. You will have the opportunity to mentor junior team members, influence strategic decisions, and directly impact our customers' experiences. If … learning algorithms Support with customer PoVs and onboarding Understand business problems and product requirements and help translate these into technical solutions Execute and deliver full AI/ML solutions from sourcing training data, design and implementing state-of-the-art machine learning models, testing, benchmark and product-driven research for model performance improvement, to shipping stable … into production Strong understanding of software development fundamentals, in particular deploying models to production and how to set up pipelines. Can demonstrate a track record of delivering AI/ML solutions as an individual contributor Demonstrate expertise in deep learning for computer vision, natural language processing, reinforcement learning etc Displays in depth knowledge in machine learning 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 ❯

systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.This role will report to a Research Manager in the AI Lab. Responsibilities Develop new ML models and AI techniques Lead on research projects within a global team Review relevant AI/ML literature to identify emerging methods, technologies, and best practices. Explore new data sources … and discover techniques for best leveraging data Minimum Qualifications A Master's or PhD in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and benchmarks, and deploying production-ready … techniques, etc.) Familiarity with PyTorch, PyTorch Lightning, or similar frameworks Strong coding abilities in Python Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms. Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs Publication track record in machine learning conferences and/or journals More ❯

Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product … embeddings and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. REQURIED … learning, particularly in recommendation systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to 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 model deployment, monitoring, and retraining More ❯

Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product … embeddings and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. REQURIED … learning, particularly in recommendation systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to 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 model deployment, monitoring, and retraining More ❯