901 to 925 of 2,703 Machine Learning Jobs in England

databases. 2. Data Quality & Validation Core Skills: Conducting data quality assurance and validation. Data cleaning, structuring, and linkage across systems. Tools & Technologies: JMP Machine Learning: Experience applying ML techniques for data validation or enhancement. 3. AI Tools & Automation Core Skills: Experience as a Prompt Engineer and in building intelligent agents. Ability to apply AI tools to solve real … performance - Generates intensity and focus to motivate people to deliver results at speed. Talent catalyst - Inspires powerful teamwork and collaboration, connecting people for better results. Agility - constantly exploring and learning, flexing style and plans for impact. NOTES About Unilever Unilever is one of the world's leading suppliers of Food, Home and Personal Care products with sales in over More ❯

to life and influence how data & AI transforms industries wed 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 Youll 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 of … 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 ❯

to life and influence how data & AI transforms industries wed 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 Youll 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 of … 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 ❯

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 ❯

perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role As a Staff/Principal ML Engineer within the Autonomy team, youll lead critical initiatives that push the frontier of model-based autonomous drivingboth in terms of core driving performance and feature-level intelligence such as … personalization, comfort, and collaboration. Youll design and deliver ML-driven behaviors that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. Youll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production. What Youll Be … to ensure integration and iteration velocity. Mentor senior engineers and shape the long-term technical direction across Autonomy. About you 7+ years (Staff) or 10+ years (Principal) years in ML engineering, with a strong track record of shipping deep learning systems to production. Expert in deep learning (esp. sequential models, control, planning, or perception). Proficient in Python More ❯

or Jenkins. Exposure to security frameworks (NIST, ISO 27001, SOC 2). Experience working in SaaS, multi-tenant cloud environments. Knowledge of machine learning security (AI/ML model risks, LLM security best practices). Familiarity with attack surface management and threat intelligence. Relevant certifications (e.g., Security+, SSCP, GSEC) are a plus but not required. What do we … heart of everything we do. We work closely with the most popular communications platforms and the world's leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic More ❯

in a leadership role, with a proven track record of translating scientific research into practical applications and strategic recommendations in a healthcare setting. - Strong understanding of various AI techniques (machine learning, deep learning, natural language processing, computer vision, etc.). - Demonstrated experience in translating research insights into practical applications with measurable real-world impact. - Excellent communication and More ❯

in a leadership role, with a proven track record of translating scientific research into practical applications and strategic recommendations in a healthcare setting. - Strong understanding of various AI techniques (machine learning, deep learning, natural language processing, computer vision, etc.). - Demonstrated experience in translating research insights into practical applications with measurable real-world impact. - Excellent communication and More ❯

We’re hiring fresh graduates to join our Data & AI team, which powers core functions across the organization — from analytics and automation to AI/ML systems and engineering pipelines. As a Graduate Trainee, you will begin by contributing to foundational development work spanning AI/ML, data workflows, automation, and internal tooling — primarily using Python. You will be working … across multiple focus areas within the Data & AI team, including: AI/ML – supporting model development, data preparation, and deployment workflows Analytics & Reporting – enabling insights through dashboards, reporting tools, and data aggregation Automation – building scripts and utilities to streamline and optimize operations Data Engineering/DevOps/MLOps – contributing to data infrastructure, deployment pipelines, and scalable systems Must-Have Skills … technical fields What You’ll Work On Development of internal tools and automation pipelines Data transformation, processing, and system integration scripts APIs and components that support analytics, reporting, or ML workflows Exposure to real-world projects across AI, automation, engineering, and reporting What You’ll Gain Practical experience across the full spectrum of modern data and AI workflows Growth opportunities More ❯

We’re hiring fresh graduates to join our Data & AI team, which powers core functions across the organization — from analytics and automation to AI/ML systems and engineering pipelines. As a Graduate Trainee, you will begin by contributing to foundational development work spanning AI/ML, data workflows, automation, and internal tooling — primarily using Python. You will be working … across multiple focus areas within the Data & AI team, including: AI/ML – supporting model development, data preparation, and deployment workflows Analytics & Reporting – enabling insights through dashboards, reporting tools, and data aggregation Automation – building scripts and utilities to streamline and optimize operations Data Engineering/DevOps/MLOps – contributing to data infrastructure, deployment pipelines, and scalable systems Must-Have Skills … technical fields What You’ll Work On Development of internal tools and automation pipelines Data transformation, processing, and system integration scripts APIs and components that support analytics, reporting, or ML workflows Exposure to real-world projects across AI, automation, engineering, and reporting What You’ll Gain Practical experience across the full spectrum of modern data and AI workflows Growth opportunities More ❯

Job Summary As a researcher at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue … to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world. We pride ourselves on being a supportive and collaborative team … at the forefront of AI supported by new hardware and develop your skills in that area, we'd love to hear from you! Responsibilities and Duties Generate AI/ML ideas, design experiments, implement them & evaluate results. Prepare, submit & present your work to AI conferences and workshops. Collaborate with researchers, silicon and software engineers at Graphcore to help define, build More ❯

applicants Join to apply for the Head of AI role at Scrumconnect Consulting Role As Head of AI, you will be the primary technical driver of all AI/ML initiatives. Youll report directly to the CEO/CTO and own the full lifecycle of our AI roadmapfrom research and proof-of-concept to scalable production. Were looking for a … integrate AI features into our platform. Continuously evaluate new research, open-source tools, and emerging frameworks to keep us at the forefront. Recruit, mentor, and grow an AI/ML team as we scale beyond our seed round. Job Description Salary- 90k-100k, plus 25k bonus Role Overview Role As Head of AI, you will be the primary technical driver … of all AI/ML initiatives. Youll report directly to the CEO/CTO and own the full lifecycle of our AI roadmapfrom research and proof-of-concept to scalable production. Were looking for a doer who can rapidly prototype models, optimize for performance, and mentor junior engineers, all while helping define product strategy. In this role, you will: Lead More ❯

empathise with our users to build exciting products that meet our unique requirements across the business. During your first 12 months you will: Work closely with the Head of Machine Learning and key stakeholders across Motorway to identify and prioritise high-impact use cases for Generative AI. Develop end-to-end AI solutions, including agentic AI systems that … frameworks (we use NodeJS, NextJS & React). Practical experience building LLM-driven agents designed explicitly to automate multi-step workflows and enhance internal productivity. Benefits A competitive salary Annual learning budget - with your learning budget, you can pay for learning experiences to support your progression. BUPA health insurance Discounted dental through BUPA Discounted gym membership through BUPA More ❯

scientists and engineers, overseeing the development and implementation of advanced AI and machine learning solutions. You will engage in close collaboration with cross-functional teams, including the ML Centre of Excellence, AI Research, Cloud Engineering, and others, to foster innovation and deliver solutions that yield a high Return-on-Investment (RoI). This senior leader will play a … Lead, mentor, and inspire a team of 20 data scientists and engineers, fostering a culture of innovation and excellence. Collaborate with senior leadership to identify opportunities for AI/ML to drive business growth and efficiency. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g., Computer Science, Mathematics, Statistics. Proven track record in building and leading … teams of experienced ML engineers/scientists, preferably in the financial sector. Experience with scalable AI model deployment, including end-to-end ML model lifecycle management, optimizing training, inference, and monitoring for large-scale AI applications. Knowledge of Generative AI & LLM infrastructure, including AI ecosystems for GPT, OpenAI, and optimizing data ingestion, model scaling, and performance tuning. Proficiency in Python More ❯

have proven experience to drive impactful operational improvements through a broad set of capabilities, combining Lean and Systems Thinking with elements of Business Transformation, Performance Optimisation, modern AI/ML, cognitive and data science-based techniques, Process Intelligence (Celonis), and build strategic capability to drive data-driven continuous operational excellence . We continue to innovate and address our client’s … digital transformation objectives and strategic goals. • Architect, Position, Design, Develop and Deploy enterprise solutions which include components across Process Intelligence (Celonis), Automation and the Artificial Intelligence spectrum such as Machine Learning, Deep-Learning, Virtual Assistants and Cognitive Services • Assist clients in transforming their work methodologies and management practices, thereby enhancing their technological expertise and promoting the adoption … experience in one or more languages (Python preferred). • Commercial & Open-Source Frameworks to process end to end data management life cycle for NLP, Vision, or similar AI/ML domain. • Bachelor's Degree in Engineering, Mathematics, Empirical Statistics or Computer Science. • Ability to work independently and manage multiple task assignments. • Possess exceptional communication and presentation abilities, with proficiency in More ❯

have proven experience to drive impactful operational improvements through a broad set of capabilities, combining Lean and Systems Thinking with elements of Business Transformation, Performance Optimisation, modern AI/ML, cognitive and data science-based techniques, Process Intelligence (Celonis), and build strategic capability to drive data-driven continuous operational excellence . We continue to innovate and address our client’s … digital transformation objectives and strategic goals. • Architect, Position, Design, Develop and Deploy enterprise solutions which include components across Process Intelligence (Celonis), Automation and the Artificial Intelligence spectrum such as Machine Learning, Deep-Learning, Virtual Assistants and Cognitive Services • Assist clients in transforming their work methodologies and management practices, thereby enhancing their technological expertise and promoting the adoption … experience in one or more languages (Python preferred). • Commercial & Open-Source Frameworks to process end to end data management life cycle for NLP, Vision, or similar AI/ML domain. • Bachelor's Degree in Engineering, Mathematics, Empirical Statistics or Computer Science. • Ability to work independently and manage multiple task assignments. • Possess exceptional communication and presentation abilities, with proficiency in More ❯

partnerships with major tech companies. You'll develop AI strategies based on innovative, science-driven data in a collaborative environment. Responsibilities Lead and manage a team of AI/ML researchers and engineers, fostering innovation Oversee development of novel AI/ML models and algorithms Collaborate with scientists, bioinformaticians, and engineers to define research goals and apply findings Manage multiple … Basecamp Research at conferences, publications, and collaborations About You (Required): Graduate degree in Computer Science, Machine Learning, Computational Biology, or related field 5+ years in AI/ML research or engineering, with at least 4 years in a technical lead or 3 years in management Strong publication record or expertise in generative AI, deep learning, or computational More ❯

partnerships with major tech companies. You'll develop AI strategies based on innovative, science-driven data in a collaborative environment. Responsibilities Lead and manage a team of AI/ML researchers and engineers, fostering innovation Oversee development of novel AI/ML models and algorithms Collaborate with scientists, bioinformaticians, and engineers to define research goals and apply findings Manage multiple … Basecamp Research at conferences, publications, and collaborations About You (Required): Graduate degree in Computer Science, Machine Learning, Computational Biology, or related field 5+ years in AI/ML research or engineering, with at least 4 years in a technical lead or 3 years in management Strong publication record or expertise in generative AI, deep learning, or computational More ❯

want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. You will work on: The Representation Learning team's charter is to enable embedding latent representations of entities across our platform. The unique challenges/opportunities that you would help tackle are embedding entities to understand … innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges. Strong skills in SQL and … the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys,Large Language Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role can be on-site hybrid working or a remote More ❯

leading the AI team, and managing academic and industry partnerships, working in a highly collaborative environment of scientists and engineers. Responsibilities Lead and manage a team of AI/ML researchers and engineers, fostering innovation Oversee development of novel AI/ML models and algorithms Collaborate with scientists, bioinformaticians, and engineers to define research goals and translate findings into applications … capabilities at conferences, publications, and collaborations About You (Required): A graduate degree in Computer Science, Machine Learning, Computational Biology, or related field 5+ years in AI/ML research or engineering, with at least 4 years in a technical leadership role or 3 years in management Strong publication record or expertise in generative AI, deep learning, or More ❯

leading the AI team, and managing academic and industry partnerships, working in a highly collaborative environment of scientists and engineers. Responsibilities Lead and manage a team of AI/ML researchers and engineers, fostering innovation Oversee development of novel AI/ML models and algorithms Collaborate with scientists, bioinformaticians, and engineers to define research goals and translate findings into applications … capabilities at conferences, publications, and collaborations About You (Required): A graduate degree in Computer Science, Machine Learning, Computational Biology, or related field 5+ years in AI/ML research or engineering, with at least 4 years in a technical leadership role or 3 years in management Strong publication record or expertise in generative AI, deep learning, or More ❯

systems that operate in highly regulated environments, processing complex financial data and making critical business decisions. What You'll Build Advanced agentic architectures with orchestrator-managed specialized sub-agents Machine learning algorithms that increase agent autonomy and reduce human input Collaborative learning systems where … agents share knowledge and improve collectively Fine-tuned models optimized for complex financial workflows Event-driven distributed systems handling sensitive data at enterprise scale The Tech Stack AI/ML : Multi-agent frameworks, fine-tuning, reinforcement learning, advanced RAG Platform : AWS serverless, event-driven architecture, microservices Languages : Python, with modern ML libraries (PyTorch, TensorFlow) What They're Looking For … 5+ years developing AI/ML systems beyond basic integration Deep understanding of agent architectures and distributed AI systems Computer science fundamentals - algorithms, system design, software engineering Startup mindset - comfortable with rapid iteration and technical trade-offs This is an incredible opportunity to join a well-funded startup at a truly exciting time. You'll work alongside brilliant engineers, tackle More ❯

and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical More ❯

around your work Make complex tradeoff decisions balancing user needs, technical constraints, and business priorities. Establish rigorous experimentation frameworks and data-driven decision making processes. Run experiments that produce learning even when they fail Cross-functional working Collaborate across the org on strategic initiatives and quarterly planning Brilliantly communicate the what, the how and the why and produce crisp … of shipping products that moved meaningful business metrics, ideally within a world-class B2C product Highly analytical individual, with excellent problem-solving skills and understanding of data science and machine learning concepts. You must be able to talk compellingly on how you utilise data to drive impact, and be able to rigorously debate data approaches with your DS/ML counterparts. Ability to zoom between pixel-level details and quarterly planning without losing coherence Strong experience with experimentation and AB testing, formulating and testing hypotheses and telling a story based More ❯

STEM/Mathematics/Support/London/Software/SaaS/Analyst/Analytical/Technical Support/Computer Science/Analyst/AI/Artificial Intelligence/ML/Machine Learning/Tech/Technology Are you a French-speaking, recent STEM graduate looking for a long-term career opportunity? Do you love technology? We might More ❯