701 to 725 of 2,634 Machine Learning Jobs in England

of 50,000+ technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in Generative AI, electronic payments, cybersecurity, machine learning, and cloud development. Job Description Our technology organization is a world-class team employing an innovative, disciplined and business focused approach to develop a wide variety of … of 50,000+ technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in Generative AI, electronic payments, cybersecurity, machine learning, and cloud development. This role provides an exciting opportunity to work directly with J.P. Morgan's technology and business leaders to drive the firm's technology strategy. More ❯

Junior Full Stack Developer – early-stage start-up React Native, Node.js, TypeScript, ML, mobile apps £40-50k equity London - 2-3 days per week in the office We’re looking for a talented Junior Full Stack Mobile Application Developer to join a very small early-stage tech startup creating a sustainable future for travel. With VC funding secured and … developer/full stack software engineering role. The successful candidate will have an interest in machine learning and will grab the opportunity to get involved with an ML system which processes GPS data to understand user travel histories. The ability to learn quickly is more important than an exact match to all the technical skills. Requirements … Experience with Node.js for backend development Familiarity with modern frontend and backend frameworks A solid understanding of RESTful APls and mobile-to-server communication Adaptability and an interest in learning new things quickly as the business develops Nice-to-haves: Experience with the Expo framework for React Native Experience with MongoDB Knowledge of Fastify or similar Node.js web frameworks More ❯

to C-suite executives. Team Mentorship: Formally manage and mentor a number of data scientists, taking responsibility for their career progression and professional growth. Provide targeted technical support and learning opportunities for data scientists on your project teams. Contribute to sustaining our culture, creating an atmosphere of collaboration and setting a high standard for performance and technical excellence. Technical … technology advancements, share these with others in the organisation, and identify how they can help drive Faculty forward. Who we're looking for You have deep technical expertise in machine learning and a command of diverse methodologies, with a solid grasp of data science and statistical techniques, for example: supervised/unsupervised machine learning, model cross … validation, Bayesian inference, and time-series analysis An excellent proficiency of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch) Demonstrable experience enabling impactful change with AI within a financial services institution. Coupling that with prior experience in consulting would be a bonus. You possess proven experience More ❯

Lead Data Scientist - LLMs - Remote In this role, you'll lead cross-functional data science projects from concept to delivery, working on a range of challenges-from machine learning and GenAI to speech-to-text applications. You'll play a key role in transforming complex data into clear insights that inform decisions and create measurable business outcomes. This … clarity to complexity and innovation to everyday challenges. What You'll Do: Lead and manage end-to-end data science projects, ensuring timely, high-quality delivery. Develop and deploy machine learning solutions using Python, including applications in natural language processing (NLP) and speech-to-text technologies. Translate analytical results into business-relevant insights for both technical and non More ❯

of insurance broking by delivering impactful AI solutions that streamline operations and enhance customer experiences. Role Summary: The IT AI Project Manager will lead the delivery of AI and machine learning initiatives within the Howden Retail. This role is pivotal in driving digital transformation by implementing AI solutions that enhance underwriting, claims processing, customer engagement, finance and regulatory … Skills & Experience: Proven experience managing AI or IT projects in the insurance or financial services sector. Understanding of insurance broking workflows, systems, and regulatory landscape. Familiarity with AI/ML technologies, cloud platforms (Azure), and data integration. Strong stakeholder management and communication skills. Proficiency in project management methodologies (Agile, PRINCE2, or PMP). What do we offer in return? A … Skills & Experience: Proven experience managing AI or IT projects in the insurance or financial services sector. Understanding of insurance broking workflows, systems, and regulatory landscape. Familiarity with AI/ML technologies, cloud platforms (Azure), and data integration. Strong stakeholder management and communication skills. Proficiency in project management methodologies (Agile, PRINCE2, or PMP). What do we offer in return? A More ❯

deep commercial insight and specialise in Paid Search (PPC), Conversion Rate Optimisation (CRO), and Data Engineering. Responsibilities: Own and shape the data science function, setting standards for excellence in machine learning, optimisation, predictive analytics, and experimentation. Lead high-impact projects across areas like customer segmentation, CLV modelling, bidding optimisation, and advanced measurement techniques. Work closely with marketing specialists … Proficient in Python (core skill), with strong experience in SQL Proven track record of applying analytics in digital media, technology, or consumer-focused organisations. Strong knowledge of statistical analysis, machine learning, forecasting, and operations research techniques. **Please note that this role does not offer visa sponsorship** How to Apply: Register your interest by sending your CV to Emily More ❯

deep commercial insight and specialise in Paid Search (PPC), Conversion Rate Optimisation (CRO), and Data Engineering. Responsibilities: Own and shape the data science function, setting standards for excellence in machine learning, optimisation, predictive analytics, and experimentation. Lead high-impact projects across areas like customer segmentation, CLV modelling, bidding optimisation, and advanced measurement techniques. Work closely with marketing specialists … Proficient in Python (core skill), with strong experience in SQL Proven track record of applying analytics in digital media, technology, or consumer-focused organisations. Strong knowledge of statistical analysis, machine learning, forecasting, and operations research techniques. **Please note that this role does not offer visa sponsorship** How to Apply: Register your interest by sending your CV to Emily More ❯

track-record in building and leading highly effective sales teams across multiple countries. You bring passion for innovative startups and latest technology trends, especially GenAI, machine learning (ML), and virtual/augmented reality (VR/AR). Your startup customers strive to become the next unicorns and future enterprises within their domain of Generative AI and advanced ML More ❯

data set giving one point of truth Clear understand business requirements and propose/implement complete solutions Create easy to understand and clear data visualisations Creation and maintenance of machine learning models Create and undertake testing procedures/policies using test-driven development methodologies Query writing/building System contingency planning and implementations A mathematics background with knowledge … of numerous machine learning models Experience with data visualisation tools Exceptional Microsoft Office skills Detail orientation with structured thinking A problem solver with the ability to multi-task A top performer who is comfortable in an unstructured environment which values initiative, creativity, maturity, poise and strong analytical skills A least a 2:1 degree in Computer Science, Mathematics More ❯

Engineering perspective being heavily involved in both Pre & Post sales. The team you'd lead are made up of PhD level Engineers who most work in Python to deploy Machine Learning Models. (They also work with Scala & react.js) This team will double over next 12 months. Mid term career progression could see you take on a wider team … commercial communication skills who can lead relationships with commercial stakeholders up to C-Level, distilling the complex into simple business language Knowledge to provide thought leadership in the Cloud & Machine Learning space Although this will be still a fairly heavy hands on element to this role initially, as the team grows and responsibility of the incumbent grows this More ❯

an Engineering perspective being heavily involved in both Pre & Post sales. The team youd lead are made up of PhD level Engineers who most work in Python to deploy Machine Learning Models. (They also work with Scala & react.js) This team will double over next 12 months. Mid term career progression could see you take on a wider team … commercial communication skills who can lead relationships with commercial stakeholders up to C-Level, distilling the complex into simple business language Knowledge to provide thought leadership in the Cloud & Machine Learning space Although this will be still a fairly heavy hands on element to this role initially, as the team grows and responsibility of the incumbent grows this More ❯

of experience: 10 to 15 years Location: Chennai, Onsite Key Skills and Qualifications: Technical Expertise: Proficiency in .NET, React, AWS, Azure, and full-stack development; experience with AI and machine learning is a plus. Manufacturing Domain Experience: Familiarity with manufacturing processes and requirements, ensuring solutions are tailored to industry needs. Analytical and Problem-Solving Skills: Strong analytical abilities … technologies. Technical Guidance and Cross-Skilling in AI: Provide technical expertise in .NET, Angular, and full-stack frameworks, supporting teams with in-depth guidance. Develop proficiency in AI and machine learning technologies, applying them to manufacturing use cases and enhancing solution capabilities. Requirements Gathering and Analysis: Collaborate with stakeholders to gather, analyze, and prioritize requirements, ensuring that solutions More ❯

lead a high-performing team of data scientists, analysts, and data engineers, fostering a culture of innovation and continuous learning. Oversee the end-to-end delivery of advanced analytics, machine learning, and decision support systems to improve customer engagement, retention, and revenue generation. Establish robust data governance, quality, and compliance frameworks, ensuring the integrity and security of all … science and telecoms. Essential Skills & Experience Proven leadership in data science/analytics within a large-scale, customer-centric organisation (telecoms experience preferred). Deep expertise in advanced analytics, machine learning, and AI, with a track record of delivering business value through data. Strong understanding of data governance, security, and compliance in regulated environments. Excellent stakeholder management and More ❯

the envelope in LLMs for Alexa, in order to provide the best-possible customer experience for our customers. BASIC QUALIFICATIONS PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science 10+ years of combined academic and research experience with a strong publication record in top-tier journals and conferences. Functional thought leader, sought … scalable models from big data. Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business, product, and technology very well. This technical leader for machine learning will be an independent thinker who can make convincing, information-based arguments. With a strong bias for action, this individual will work equally well with science, engineering More ❯

the envelope in LLMs for Alexa, in order to provide the best-possible customer experience for our customers. BASIC QUALIFICATIONS PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science 10+ years of combined academic and research experience with a strong publication record in top-tier journals and conferences. Functional thought leader, sought … scalable models from big data. Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business, product, and technology very well. This technical leader for machine learning will be an independent thinker who can make convincing, information-based arguments. With a strong bias for action, this individual will work equally well with science, engineering More ❯

data set giving one point of truth Clear understand business requirements and propose/implement complete solutions Create easy to understand and clear data visualisations Creation and maintenance of machine learning models Create and undertake testing procedures/policies using test-driven development methodologies Query writing/building System contingency planning and implementations A mathematics/computer science … background with knowledge of numerous machine learning models - some alternative degrees will be considered Experience with data visualisation tools (Power BI etc.) Technical knowledge i.e. Python, R, SQL, C++ etc. Exceptional Microsoft Excel skills Detail orientation with structured thinking A problem solver with the ability to multi-task A top performer who is comfortable in an unstructured environment More ❯

and maintain the enterprise architecture vision, aligning it with organisational goals and future technological trends whilst Designing scalable and flexible intelligent solutions that leverage AI, machine learning (ML), and other emerging technologies. Research and adopt new architectural technologies and techniques, managing and implementing Proof of Concepts (POCs). Collaborate with R&D managers, AI & automation teams, IT teams … proven experience designing and implementing AI solutions in complex enterprise environments Experience in all architecture domains:- application, data, cloud ( AWS) and technology with expertise with AI, Gen Ai and ML frameworks (e.g., TensorFlow, PyTorch, AWS Sagemaker, AWS Bedrock, OpenAI). Strong experience of AI services and AI lifecycle and model training Proficiency in backend and frontend technologies such as .NET More ❯

Principal Data Scientist/MLE role at WovenLight WovenLight is creating a new category of investment firm. We combine traditional private equity investing with deep capabilities in AI and machine learning - in order to drive outsized value creation at our portfolio companies. Our north star is sustainable, repeatable, outsized returns for the benefit of our partners, investors, and … next best action for sales agents, geospatial modelling to improve store footprint; and many more. You will apply a combination of leadership skills and deep technical expertise in data, machine learning, statistics and software development to deliver high quality technical projects. With support from the deployment lead and deal team, you will align scope, organise the work, distribute More ❯

AI systems (e.g. with RAG techniques), and get to immediately apply your results in highly visible Amazon products. If you are deeply familiar with LLMs, natural language processing and machine learning, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and driving ambitious research agendas all … Information team, you can make your mark by improving information-driven experience of Amazon customers worldwide! BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the … following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in building machine learning models for business application - Experience with natural language processing and/or processing of multi-modal data (e.g. images) PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development - Experience with training and More ❯

through complex, open-ended projects and fostering a high-performance, collaborative culture. Shape the technical vision of the data engineering function, contributing deep expertise across big data, systems design, machine learning, and cloud infrastructure. Data Infrastructure & Optimisation: Oversee the development and maintenance of accurate, high-quality datasets and optimised codebases that support data products, pipelines, and scalable architectures. … teams in cloud-native environments Track record of delivering scalable data solutions aligned with business goals Hands-on experience with modern data platforms, pipelines, and governance frameworks Familiarity with machine learning workflows and data science enablement Although these roles are listed as full-time, if you’re a job share partnership, work reduced hours, or any other way More ❯

track record of high-quality publications. - Collaboration & Communication : Strong interpersonal skills with the ability to communicate effectively and work with people from diverse technical and non-technical backgrounds. - Innovation & Learning : Eagerness to explore and learn new technologies, initiate collaborations, and contribute … to successful proposals or funding bids. - Robotic manufacturing processes (e.g., laser cleaning, cutting, additive manufacturing, surface preparation, inspection). - Radiation hardening or radiation-tolerant electronics. - Machine learning (ML), artificial intelligence (AI), or digital infrastructure. - Mechanical systems, including sensing, non-destructive testing, and actuation mechanisms. - Dynamic modelling and systems identification. - Control theory and intelligent control systems for manipulation or More ❯

will focus on AI development for the turn-based Total War Campaign. Please be aware that although the AI Team, and CA more widely, have a keen interest in machine learning and related techniques, this developer position is focused on more traditional search and optimisation processes. Candidates with a primarily machine learning (or similar) background would More ❯

have multiple portfolios across both unsecured lending and secured lending. You will be working with experts across the industry to validate risk models across the business using AI and Machine learning modelling. The Role As a Model Validation Manager , you will be: Validating Credit Risk models like IFRS9 (PD, EAD, and LGD) Using analytics skills to improve credit … risk models and model review practices Validating wider risk models covering AI, machine learning, reporting, and operational risk models Working with senior leadership to present findings of validation exercises. Using tools like SAS, SQL, R and Python daily. Your skills and experience To be successful as a Model Validation Manager , you will need: Strong experience with SQL and More ❯

Our Story Previse has pioneered algorithm-driven invoice payment decisions. We use machine learning to predict the likelihood that a multinational will ultimately pay a supplier's invoice, which enables instant payment. Previse reduces transaction costs for buyers, improves working capital for suppliers, and creates an attractive new asset class for funders. This is "Trade Finance 2.0", driven … by data, and driving growth for companies large and small. We utilise the latest tech in machine learning and have access to advanced datasets that allow us to train our algorithms to replace slow manual processes. "To ensure that every supplier in the world can be paid instantly, at the fairest rate." We are looking for a Clojure More ❯

build smart, and stay ahead of the curve. We use a Monorepo to build the entire stack, from the RTL written in SystemVerilog to the state of the art machine learning models in Python and everything in between including C, C+, Rust and Ruby. We compile our tools for both macOS (arm64) and Linux (x86, arm64) and we … itself, making sure it scales are we grow our company, - Add new features such as remote execution, shared caches, hermetic system dependencies. - Scale the CI resources from a single machine per architecture to a managed cluster for compute resources, - Debug and optimise build rules for existing technologies, - Extend support for new languages and technologies, - Contribute to upstream Bazel rules … Scripting and automation skills in Python A degree in Computer Science, Engineering, or a related field (or equivalent experience Additional skills that are nice to have: Experience working with machine learning pipelines or large language models Knowledge of GitHub Actions, and modern cloud services Knowledge of build systems for complex, multi-language projects Strong background in containerisation and More ❯