1,101 to 1,125 of 1,345 Machine Learning Jobs in the UK

Data & AI evangelist - educating stakeholders on possibilities and translating technical outcomes to business value. Data specialist - shaping data science strategy, building production-ready ML models, and embedding best practice. Fixer/problem-solver - helping teams refine requirements, diagnose issues, and drive real commercial outcomes. Day-to-day you will: Translate … complex business problems into research questions with quantifiable objectives. Identify, acquire, and work with structured and unstructured datasets. Build, validate, deploy, and monitor production ML models. Partner with data engineers, ML engineers, architects, and business teams to shape ML initiatives. Present insights clearly through strong data visualisation and storytelling. Uphold ...

Data & AI evangelist - educating stakeholders on possibilities and translating technical outcomes to business value. Data specialist - shaping data science strategy, building production-ready ML models, and embedding best practice. Fixer/problem-solver - helping teams refine requirements, diagnose issues, and drive real commercial outcomes. Day-to-day you will: Translate … complex business problems into research questions with quantifiable objectives. Identify, acquire, and work with structured and unstructured datasets. Build, validate, deploy, and monitor production ML models. Partner with data engineers, ML engineers, architects, and business teams to shape ML initiatives. Present insights clearly through strong data visualisation and storytelling. Uphold ...

code the future together! Project Overview: This is a unique opportunity for a visionary leader and AI ambassador who will shape Intellias’ global AI & ML practice and can blend deep technical expertise with a keen business acumen to drive growth, innovation, and market leadership. The ideal candidate is a strategic … build and inspire a world-class team, cultivate strong client relationships, and position our company at the forefront of the AI/ML industry. Requirements: At least 3+ years of experience in AI, 10+ years of experience in ML and software engineering. 5+ years of experience in management and innovation ...

digital consultancy supporting data-driven services across the UK public sector. The organisation values collaboration, inclusion, and work-life balance, and actively supports continuous learning and professional development through access to training, modern engineering tools, and supportive multidisciplinary teams. The consultancy works closely with government departments and public sector … organisations to design, build, and operate secure, scalable data platforms that enable advanced analytics, data science, and machine learning. Diversity and inclusion are core values, and hiring decisions are based on skills, experience, and potential. Empowering individuals and building strong teams are central to delivering meaningful outcomes for clients ...

high-impact solutions. Mentor and lead cross-functional AI teams, building reusable assets and delivery excellence. Background & Experience PhD or equivalent in Computer Science, ML, AI, or a related field (or outstanding equivalent experience). Extensive experience designing and deploying enterprise AI/ML solutions in production. Proven leadership … e.g. financial services, healthcare). Track record of thought leadership (publications, patents, open source, or industry impact). Technical Excellence Expert Python and modern ML frameworks (PyTorch, TensorFlow). Strong experience with Generative AI tooling (e.g. LangChain, LangGraph or similar). Deep understanding of LLMs, prompt engineering, RAG, vector databases ...

experience in capital markets, front-office systems, or financial services (essential). Proven track record of delivering complex technology projects, ideally involving AI/ML solutions. Education: Relevant degree in Technology, Software Engineering or Project Management. Core Skills Project Management methodologies (Agile, Scrum, Waterfall). Strong stakeholder management and communication … skills. Familiarity with AI/ML concepts and GenAI technologies (ideally with some hands-on coding experience) Risk management and regulatory awareness in financial services. Tools: JIRA, Confluence, MS Project, or similar. Desirable Skills Experience managing projects involving LLMs, RAG pipelines, or AI-driven analytics. Knowledge of financial instruments, pricing ...

platform for global credit investors (think Reuters and Bloomberg) The engineering org is London‐based (circa 13–14 people across DevOps, Frontend, AI/ML, Backend, and QA). Everything is the latest and greatest tech in the cloud, serverless etc. The office is based in Victoria and the team … with potential to move into team leadership Employee Benefits Pension scheme; private medical; basic on‐site gym access 25 days’ holiday plus bank holidays; learning & development; team events; cycle to work; choice of quality hardware A great role here and the chance to work with an awesome team. Apply ...

world value. What You’ll Bring 3+ years experience in a commercially driven customer environment Strong Python skills and solid grounding in AI/ML fundamentals. Experience with some of Databricks, LangChain , vector databases , or LLM orchestration tools . Knowledge of RAG pipelines , transformers , and modern AI architectures . Understanding … plus). Recent, hands-on experience with applied LLM projects . Strong communication and stakeholder engagement skills. A Master’s degree in Computer Science, ML, or AI is preferred but not required. The Opportunity Be part of an ambitious AI journey - already 70% built, with big plans for the next ...

world value. What You’ll Bring 3+ years experience in a commercially driven customer environment Strong Python skills and solid grounding in AI/ML fundamentals. Experience with some of Databricks, LangChain , vector databases , or LLM orchestration tools . Knowledge of RAG pipelines , transformers , and modern AI architectures . Understanding … plus). Recent, hands-on experience with applied LLM projects . Strong communication and stakeholder engagement skills. A Master’s degree in Computer Science, ML, or AI is preferred but not required. The Opportunity Be part of an ambitious AI journey - already 70% built, with big plans for the next ...

requirements for AI-driven automation initiatives. Conduct business process analysis by documenting current-state and future-state workflows, identifying opportunities for intelligent automation leveraging ML, LLMs, and orchestration platforms. Support solution design by converting business needs into technical user stories, acceptance criteria, and high-level solution designs in collaboration with … using AI-assisted documentation and code-generation tools (such as MCP, GitHub Copilot, or LangChain) to accelerate software delivery. Practical understanding of AI/ML platforms and services, including Anthropic/OpenAI, Azure OpenAI, AWS Bedrock, and related frameworks. Strong capability in business process modelling (BPMN), user story mapping ...

GraphQL consideration Local Storage : Core Data/SQLite, Room Database, secure keychain/keystore AI Integration : Real-time transcription, LLM-powered document generation, offline ML models Backend Integration : Ruby/Python API, AWS (Lambda, S3, RDS), PostgreSQL, Redis, real-time sync DevOps : GitHub Actions, Fastlane, TestFlight/Google Play beta … technical decisions for our migration to native. An innovator : Push boundaries with native performance optimisation, offline-first architecture, background audio processing, and mobile ML integration for thousands of financial advisors. We're looking for: In addition to the following technical skills, we are looking for PROBLEM SOLVERS with an entrepreneurial ...

speed, quality, reliability, user outcomes) and decide what to scale, iterate or stop. Collaborate with specialists: Work effectively with internal or external data/ML specialists and vendors to integrate AI services into our products and platforms. Understand the lifecycle of AI features from idea → prototype → production and what … product families, aligning engineering management with a portfolio/product structure. Experience with distributed or remote teams across time zones. Prior experience in ML/AI-specific leadership roles (e.g. leading data/ML engineering teams) is a plus but not required. ...

operational models. Key Responsibilities Lead design of solutions leveraging Intelligent Automation Platforms (RPA, low-code/no-code automation, event-driven automation, AI/ML driven automation). Define architecture patterns for AI-enabled communications, including NLP, GenAI, intelligent routing, and automated decisioning models. Ensure alignment with telecom standards … Strong hands-on understanding of Intelligent Automation Platforms (e.g., Pega, UiPath, ServiceNow Automation, Automation Anywhere, Camunda, or similar). Proven experience in AI/ML, data modeling, data lakes, event streaming, and analytics (e.g., Kafka, Spark, Python ML stack). Deep exposure to telecom protocols and domains Experience with cloud ...

join their National Security AI team in London. This is a hands-on, strategic role where you’ll help clients secure AI/ML systems, advise on emerging AI threats, and design resilient architectures across cloud and hybrid environments. You’ll play a direct role in pioneering AI adoption … Doing Conduct security assessments, threat modelling, and risk analysis across cloud, on-premises, and hybrid environments. Evaluate and secure AI/ML systems, including model governance, data pipelines, and deployment patterns. Advise on AI risk management: prompt injection, model poisoning, data leakage, privacy risks, and adversarial attacks. Design and recommend ...

digital consultancy supporting data-driven services across the UK public sector. The organisation values collaboration, inclusion, and work-life balance, and actively supports continuous learning and professional development through access to training, modern engineering tools, and supportive multidisciplinary teams. The consultancy works closely with government departments and public sector … organisations to design, build, and operate secure, scalable data platforms that enable advanced analytics, data science, and machine learning. Diversity and inclusion are core values, and hiring decisions are based on skills, experience, and potential. Empowering individuals and building strong teams are central to delivering meaningful outcomes for clients ...

digital consultancy supporting data-driven services across the UK public sector. The organisation values collaboration, inclusion, and work-life balance, and actively supports continuous learning and professional development through access to training, modern engineering tools, and supportive multidisciplinary teams. The consultancy works closely with government departments and public sector … organisations to design, build, and operate secure, scalable data platforms that enable advanced analytics, data science, and machine learning. Diversity and inclusion are core values, and hiring decisions are based on skills, experience, and potential. Empowering individuals and building strong teams are central to delivering meaningful outcomes for clients ...

Computer Science, Data Engineering, or related field. Certifications in cloud platforms (e.g., Azure Data Engineer, GCP Associate Cloud Engineer). Familiarity with AI/ML applications in customer engagement and personalisation. Why Join Accenture? Work with cutting-edge technologies and global clients. Be part of a diverse, inclusive, and innovation … driven culture. Access world-class learning resources and career development programmes. Join a team that values stewardship, integrity, and client value creation. What’s in it for you: Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range ...

Architecture. Experience in AI-enabled customer experience transformation. Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare … life insurance Pension plan Cycle-to-work scheme 28 days paid annual leave (including company-wide wellbeing days) Access to LinkedIn Learning and ongoing development programs If you’re ready to shape the future of AI-driven customer experience and thrive in a collaborative, fast-paced environment ...

industry.They will help build robust, reliable software solutions for automatic data management.They will use and develop leading-edge skills in data engineering and machine learning. Main duties of the job The successful candidate will help to design andmaintainsoftware in multiple languages, including Python, SQL, and JavaScript, using continuous integration … with our patients, colleagues and the wider community. We call this Delivering Compassionate Excellence and its focus is on our values of compassion, respect, learning, delivery, improvement and excellence. Job description Job responsibilities Please see the attached job description and person specification for further information. For an informal discussion ...

throughput pipelines to capture metrics such as: Model performance, drift, and degradation Operational and service health Security posture and policy adherence Guardrail compliance for ML and GenAI systems Governance and risk indicators Implement observability tooling using logging, metrics, tracing, and event-driven patterns. Apply secure-by-design principles, strong … building scalable distributed systems or data platforms. Proficiency in Python, SQL, Java , and modern data processing frameworks. Experience working with cloud-based AI/ML ecosystems , particularly AWS SageMaker (required). Understanding of monitoring frameworks , observability pipelines, and dashboards. Familiarity of event-driven architectures and messaging systems (Kafka, Vert.x ...

play a critical role in the Design, development and deployment of AI/MI and Data solutions Work with advanced AI platforms including Azure ML, Azure OpenAI, Databricks, MLflow and LangChain A collaborative, supportive culture that encourages innovation and professional development Hybrid working with three days in the London office … with Azure) Experience with large language models (LLMs), retrieval-augmented generation (RAG) Previous experience with Databricks Experience working on Data Science/AI/ML solutions into production environments Excellent communication skills with the ability to simplify complex concepts for non-technical stakeholders A proactive, collaborative mindset and the ability ...

solutions that deliver autonomous workflows, seamless enterprise integration, and intuitive user-facing interaction points. This role requires strong hands-on expertise in AI/ML development, large language models, and full stack engineering. It is ideally suited to professionals with 5+ years of software development or IT automation experience … Skills & Experience 5+ years in software development or IT automation with proven delivery of robust solutions. Expert-level proficiency in Python for AI/ML and backend development. Hands-on experience with agentic AI frameworks, workflow automation, or intelligent IT service management. Deep experience with LLMs and integrating RAG (Retrieval ...

Siena Partnership are working with a leading financial services organisation is seeking a Senior Full Stack AI/ML Engineer for an initial 6-month contract (with the potential to extend or go perm) . This role focuses on taking AI models built by a third-party provider and turning … them into robust, production-grade systems , while helping establish a long-term internal AI/ML engineering capability. What you’ll do Deploy and operationalise AI/ML models into live production environments Build observability, monitoring, and continuous evaluation to manage model performance and drift Design and implement CI/ ...

pipelines and monitoring systems to track: AI model performance and drift Operational resilience and service health Security posture and policy adherence Guardrail compliance for ML and GenAI Aggregated risk indicators and governance metrics Ensure end-to-end observability across model development, deployment, and runtime operations. Embed secure-by-design principles … experience building scalable distributed systems or data platforms. Fluency in Python, SQL, Java , and modern data processing frameworks. Expertise in cloud-based AI/ML ecosystems , particularly AWS SageMaker (required). Proven experience developing monitoring frameworks , observability pipelines, and dashboards. Deep understanding of event-driven architectures and messaging systems (Kafka ...

experience across all Identity and Access Management core disciples including identity management, identity governance and administration, privileged access, and conditional access and in particular, machine identities. It also requires deep technical skills in the DevSecOps. This role will support the transformation of IAM into a modern, automated, predictable … SDLC from the ground up, ensuring AI models and systems are secure by default. Define and enforce secure coding practices for AI/ML components and APIs. Identify and assess threats specific to AI systems, such as model inversion, data poisoning, adversarial attacks, and model theft. Implement model encryption ...