1,526 to 1,550 of 1,733 Machine Learning Jobs in England

private sectors. Strong background in software development, system architecture, low code/no code and emerging technologies. Experience with cloud computing, AI/ML, cybersecurity, and scalable platforms. Excellent leadership, communication, and decision‐making skills. Strong understanding of agile methodologies, DevOps, and software lifecycle management. Experience in fundraising, investor relations … Classes, Discounted Private Health Cover, Eye Care Discounts. Wealth Benefits: Shopping Discounts, Debt Support, Money Advice, Free Credit Reports, Travel Money Savings Education Benefits: Learning Courses, Business Skills Training * Offered only to employees based in the UK. #J-18808-Ljbffr ...

cohesive platform solutions. Innovation & Emerging Tech: Awareness of trends in platform engineering, such as platform orchestration, internal developer portals, and integration of AI/ML capabilities into platform offerings. Candidates with platform product management experience are encouraged to apply. Ideal candidates will bring a product mindset to platform engineering, with … client pitch contribution, client hosting at events. Internal Contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & Development – Training to support your career development and the skills demand within the company, certifications etc. Your Profile You’re a strategic thinker ...

client pitch contribution, client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development – Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILE Demonstrated origination, market making, account creation … bookings Can structure standard and bespoke deals Can develop G2M packs for C-Suite but can also baseline with solution architecture IDP, NLP, ML, GenAI, Workflow & RPA experience Comfortable with On Prem and Cloud Architecture Can identify a client’s automation maturity DSIT AI Ethics legislation awareness Awareness of Automation ...

Silver Sustainability medal. You’ll also benefit from: Hybrid working that supports flexibility and collaboration A purpose‐led, people‐first culture where inclusion, learning and development are genuinely prioritised Opportunities to shape modern engineering practices across automation, AI, security and performance testing Career and skills development in a business …/CD and DevOps practices Experience embedding security testing into software delivery, ideally working closely with Information Security teams Practical experience applying AI, ML or AI‐augmented tooling within a testing or engineering environment Knowledge of automation frameworks such as Selenium, Playwright or equivalent, plus performance and security testing tooling ...

client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILE As a member of the Data … technical stakeholders, translating complex concepts into clear, compelling narratives for senior audiences. Data & AI expertise – Strong understanding of data ecosystems and AI capabilities (e.g. ML, GenAI, analytics), with the ability to connect technology to tangible business value. AI strategy & delivery experience – Experience across the lifecycle from discovery and use case ...

reporting and insight transformation initiatives • Partner with senior stakeholders to identify and prioritise high-value opportunities • Guide development of predictive models , forecasting tools and ML-driven solutions • Collaborate with Product, Engineering and Governance teams to deliver measurable business impact • Build a culture of experimentation, innovation and continuous improvement Key Details … Central London • Team: Direct responsibility for Analytics and Data Science leadership, managing c.14 specialists • Tech Environment: SQL, Python, R, AWS, Snowflake, Tableau, Analytics & ML platforms • Visa Sponsorship: May be considered for exceptional candidates Interested? Please apply below. ...

environments at different stages Operate within air-gapped and restricted access environments (including ITAR and special access considerations) Integrate and support AI/ML models within platform architecture (core requirement) Provide technical leadership while remaining hands-on with delivery Essential Skills & Experience Strong experience in DevOps/Platform Engineering roles … Strong understanding of DevOps culture and modern engineering practices Experience supporting platform modernisation or legacy-to-modern migrations Desirable Experience Apache Kafka AI/ML model integration within platform environments Exposure to ITAR/defence/highly regulated systems Experience operating in environments with multiple maturity levels across platforms Role ...

environments at different stages Operate within air-gapped and restricted access environments (including ITAR and special access considerations) Integrate and support AI/ML models within platform architecture (core requirement) Provide technical leadership while remaining hands-on with delivery Essential Skills & Experience Strong experience in DevOps/Platform Engineering roles … Strong understanding of DevOps culture and modern engineering practices Experience supporting platform modernisation or legacy-to-modern migrations Desirable Experience Apache Kafka AI/ML model integration within platform environments Exposure to ITAR/defence/highly regulated systems Experience operating in environments with multiple maturity levels across platforms Role ...

/Python; Automation and containerisation; Solution based mindset; DevOps culture; Python; Apache Kafka; Kubernetes; Docker; CICD; Secure development in air gapped environments; AI/ML model integration experience. Role scope Primary focus : Is this role mainly hands-on engineering (CI/CD, Kubernetes, automation), or does it lean more towards … security element (e.g. security tooling, compliance requirements, air-gapped constraints)? Compliance requirements, air-gapped constraints, ITAR and special access compartment considerations. AI/ML integration : Is this a core requirement or more of a nice-to-have? Core Clearance For SC clearance: is any active SC acceptable, or is there ...

Salary: up to £110K Work Model: 1-2 days a week in office Key Skills: Ruby on Rails, ML/AI, LLMs A Senior (Ruby on Rails) Engineer is required to join one of our clients, who are transforming the automotive space. This role provide an opportunity for an experienced … Ruby on Rails Engineer working closely with team sizes from 5-15 ( onshore/offshore) and want to work with the latest innovations in ML and AI, please get in touch. Key requirements: + 7 years of Ruby & Ruby on Rails AI & LLMs: API integration, prompt engineering, AI-enhanced features ...

contribute to peer code reviews You'll need to have Strong Python engineering skills (clean, modular, production-ready code) Experience in data science, including ML/statistical modelling for MMM and econometrics Strong SQL for data extraction and analysis Solid understanding of software engineering fundamentals (Git, agile workflows) Ability … contribute to peer code reviews You'll need to have Strong Python engineering skills (clean, modular, production-ready code) Experience in data science, including ML/statistical modelling for MMM and econometrics Strong SQL for data extraction and analysis Solid understanding of software engineering fundamentals (Git, agile workflows) Ability ...

interactions with prospects in order to build long‐term business opportunity. You’ll also work closely with the other specialist teams (AI/ML, SAP, Connect) to develop and take solutions to market, and product/service teams to help them evolve the products/services and address concerns. … Experience working with customers in the Data and Analytics domain Preferred Qualifications Experience with cloud computing and or related fields (SAP, IoT, AI/ML) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based ...

.NET Developer, C# 14 - Financial Consultancy - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS ...

Data Scientist - ESG Duration: 6 months (Initial contract) Location: Central London Office Flexibility: Hybrid model (3 days onsite, 2 days remote) Sector: Financial Services/ESG Data Tech Are you a Data Scientist who loves ...

Databricks Inc. is looking for a Senior Specialist Solutions Engineer (AI/ML) in London, UK. This role involves leading technical solutions for customers in ML applications, mentoring teams, and providing advanced technical support during sales. A successful candidate will have a robust ML background and customer-facing experience. … position offers an opportunity to work on cutting-edge technologies and requires strong communication skills, a passion for ML, and can involve some travel. The company emphasizes diversity and inclusion in its hiring practices. #J-18808-Ljbffr ...

improve overall output quality. Technical Domain Focus Candidates should ideally possess expertise or interest in one or more of the following domains: AI/ML for imagery and remote sensing applications Reinforcement learning Natural Language Processing (NLP) & Large Language Models (LLMs) Knowledge graphs and graph-based neural networks …/ML applied to RF, Electronic Warfare (EW), radar, sonar, or acoustics Autonomous systems Requirements & Qualifications Essential Education: PhD in a relevant quantitative or technical discipline. Experience: Circa 10+ years of demonstrable experience in an AI/ML role within industry or academia (ideally with exposure to the defense ...

executive presence to make data a genuine board-level conversation. Key Responsibilities Set and own the data, analytics and (where in scope) AI/ML strategy in service of the wider business strategy Build, scale and lead high-performing data, analytics, BI and ML teams Partner with the executive team … governance, ethics, privacy and compliance—UK GDPR, FCA and sector-specific obligations where relevant Lead platform and vendor decisions across warehouse, lakehouse, BI, orchestration, ML and data activation Set and manage the data function's roadmap, budget and operating model Develop data literacy and a data-informed decision culture across ...

Experience with monitoring and observability tools (e.g. Prometheus, Grafana, Elastic stack) Assignment Objectives - Implement or improve model monitoring and operational controls for AI/ML systems. - Build and maintain robust ML pipelines for training, deployment, and monitoring - Develop backend systems and APIs that integrate AI into our SaaS platform - Take … ownership of the ML performance, monitoring, availability, and security - Define drift, unexpected-output and AI incident playbooks with clear ownership and evidence. - Align MLOps processes with data governance, AppSec, logging, monitoring and enterprise GRC expectations. - Support AI-specific control closure across NIST-style controls, SOC 2, ISO 27001 and enterprise ...

Consortia Group is looking for a Principal Product Manager in London to lead a cross-functional team focused on ML and LLM features. This role requires expertise in B2C products utilizing data science and machine learning. The ideal candidate will guide the squad and take ownership of challenges, ensuring ...

data-heavy role, not a coordination role. The role sits at the intersection of commercial strategy, e-commerce pricing, analytics, measurement, AI/ML-enabled pricing tools, merchandising, operations, and business adoption. You will help teams understand what the data is saying, what decisions need to be made, what trade … data, product, merchandising, finance, and operations teams to improve decision quality and business confidence. Translate commercial questions into clear analytical requirements for data science, ML, and central analytics teams, including metric definitions, data cuts, hypotheses, guardrails, and acceptance criteria. Work with ML teams on AI-driven pricing tools by helping ...

focuses on integrating AI capabilities into production systems, ensuring they are reliable, secure, and deliver measurable impact. What You’ll Do Integrate AI/ML components into applications and operational workflows Design and implement Retrieval-Augmented Generation (RAG) solutions Evaluate LLM performance, identify failure modes, and implement mitigation strategies Test … appropriate Collaborate with engineers, data scientists, and stakeholders to deliver production-ready AI solutions What You’ll Need Experience building or integrating AI/ML systems into real-world applications Strong understanding of LLMs, ML models, and core statistical concepts Experience evaluating AI systems and improving reliability and performance Ability ...

instrumentation through to model deployment, monitoring, and iteration. This is an AI-native role, requiring genuine hands-on experience with LLMs, semantic search, and ML systems. The team is made up of product professionals from some of the most respected names in UK tech. The Role.... … product strategy and roadmap for data products, search, relevance, and AI-powered personalisation — translating complex data science and ML capabilities into member-facing features that are intuitive, trustworthy, and measurably impactful Define requirements for AI-powered ranking, recommendation, and search systems — including input/output specifications, confidence thresholds, fallback behaviours ...

direct sales team, ensuring accuracy and leveraging partner incentive programs. Identify, qualify, and prioritize new opportunities that align with our core capabilities (AI/ML, product engineering, data platform modernisations). Internal Readiness: Working with our capability and engineering leadership to ensure we build capabilities with our chosen partners. Working … mind. Flexible Working: We champion hybrid working , providing a home office setup budget to ensure you’re comfortable and productive wherever you are. Learning & Development: Invest in yourself with access to Udemy Business and a dedicated learning and development budget for continuous growth. Lifestyle Perks: Make the most ...

enterprise AI solutions in the European market. REQUIRED QUALIFICATION S12–18 years of enterprise technology sales experience, with a strong track record in AI, ML, Conversational AI, or CX Automation solution selling .Minimum 5 years of direct experience selling AI/ML-powered platforms or intelligent automation solutions to enterprise ...

experienced Principal Cloud DevOps Engineer to help us to build a robust and scalable infrastructure for our ID verification solution powered by Machine Learning. You'll join a talented DevOps team who are highly creative and passionate around new ways to improve our existing infrastructure. We work … Agile environment where we are constantly learning and exchanging ideas. What you will do: You'll manage and improve our existing infrastructure You will help us build the next generation of our platform You will streamline and automate our deployment processes You will work closely with our Security team ...