1,051 to 1,075 of 1,328 Machine Learning Jobs in the UK

reduce data exposure and improve security outcomes. Key Responsibilities: Discovery & Assessment Lead data security discovery across M365, SaaS, cloud platforms, and AI/ML workflows, identifying sensitive data locations, access patterns and exposure paths. Analyse data flows and egress channels to understand how data is created, shared and exfiltrated across ...

Knowledge of complementary modern data stack tools such as dbt for SQL-based transformations Experience integrating Large Language Models (LLMs) or operationalising AI/ML models Personal Qualities Exceptional problem-solving abilities and a persistent, detail-oriented approach to debugging complex code Strong communication skills to effectively translate business requirements … into technical architectures A proactive mindset focused on continuous learning and staying ahead of the rapidly evolving data landscape Willingness to review code submissions, enforce coding standards, and mentor junior engineers on the team Preferred Background 3–5+ years in software engineering, data engineering, or Big Data environments with ...

London/Hybrid Working style Remote-first with periodic in-person working sessions Reports to CTO (fractional; Gregory Wheeler, Martingale GmbH) Works with Principal ML Engineer (Zifan); CTO; Founders Start date March 2026 Probation 3 months Role type Full-time, permanent Salary & Benefits £70-95k, Bonus, Equity, Other benefits … reconciliation. • Build and operate async processing infrastructure: queues, workers, schedulers, with attention to reliability patterns (dead-letter queues, safe reprocessing, backpressure). AI/ML Operations Support • Partner with the ML engineer on production deployment of AI/ML models and agentic workflows: containerisation, versioning, controlled rollouts, and regression testing. ...

basis, paying £650.00 per day inside IR35. NOTE: Clearance required: BPSS SAP IBP Demand experience with strong statistical background Exposure to use SAP IBP Machine learning algorithms Experience with integrating external forecasting methods with SAP IBP Exposure to Promotions planning and integration of promotions data with Demand forecast ...

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 ...

logging. Application Level Support Providing application‐level support for developed products. Producing clear documentation and solution overviews for ongoing support and knowledge sharing. Continuous Learning & Development Keeping up to date with evolving trends in web development, cloud technologies and AI integration. Participating in training and professional development activities. Sharing … broader NetSuite ecosystem tools. Knowledge of Docker, Kubernetes, Azure Container Apps and Infrastructure as Code (Azure Bicep, Terraform). Familiarity with AI/ML integration, Azure AI Foundry or Azure OpenAI Service. Understanding of the Microsoft Fabric platform and related technologies. Experience in the property or professional services sector. Knowledge ...

scalable and well-architected system design Excellent communication skills, including working with stakeholders at all levels Desirable Knowledge of emerging technologies (e.g., AI/ML tools) Previous senior/lead engineering experience Experience running large multidisciplinary projects Line management experience Experience interviewing and supporting technical hiring Experience contributing to bids … design and data to help public sector organisations deliver outcomes that genuinely improve lives. You'll join a thoughtful, collaborative community that values diversity, learning and openness. Benefits include: 30 days holiday + bank holidays 2 paid volunteer days Enhanced maternity/paternity leave 5% employer pension contribution Health ...

reliable operation of autonomous robotic systems within the company's robotics platform. Working closely with cross-functional teams across embedded systems, AI/ML and systems architecture, you will help design, develop and validate robotics software that meets high performance and safety standards. We are looking for someone who enjoys … Responsibilities: * Design, develop and implement robotic software components and algorithms across perception, planning, control and decision-making systems * Collaborate with embedded engineers, AI/ML specialists and system architects to integrate software into the wider robotics platform * Conduct testing, optimisation and validation to ensure software meets safety and performance requirements ...

reliable operation of autonomous robotic systems within the company's robotics platform. Working closely with cross-functional teams across embedded systems, AI/ML and systems architecture, you will help design, develop and validate robotics software that meets high performance and safety standards. We are looking for someone who enjoys … Responsibilities: Design, develop and implement robotic software components and algorithms across perception, planning, control and decision-making systems Collaborate with embedded engineers, AI/ML specialists and system architects to integrate software into the wider robotics platform Conduct testing, optimisation and validation to ensure software meets safety and performance requirements ...

Databricks. In this role, you will define both high-level and low-level designs, shape scalable and secure data and AI/ML platform capabilities, and drive seamless integration with core enterprise systems. The ideal candidate combines deep cloud architecture expertise, strong data engineering and AI/ML platform experience … other data/AI services within the ecosystem.The ideal candidate brings a strong blend of cloud architecture, data engineering, and AI/ML platform experience, along with the ability to translate business requirements into scalable and secure technical solutions. Key Responsibilities: Architecture & Design Define ...

solutions from concept to production Establish AI operating models, best practices, and responsible AI frameworks Build and lead high-performing multidisciplinary teams (Data Science, ML Engineering, MLOps) Identify use cases across functions (customer experience, operations, knowledge management, automation) Ensure scalability, security, and compliance of AI platforms Required Experience Proven leadership … delivering Generative AI programmes at enterprise scale Strong advisory background engaging senior business leaders Deep technical expertise across modern AI/ML ecosystems Track record of translating emerging technologies into measurable outcomes Technical Expertise Generative AI & LLMs Large Language Models (GPT, Claude, Llama, Mistral or similar) Prompt engineering, fine-tuning ...

/GCP/Azure) Experienced building real pipelines — not just notebooks Curious about how financial systems actually work Bonus points for: Exposure to ML workflows Familiarity with dbt, Airflow, Docker Experience handling financial or semi-structured data Interest in LLM infrastructure and vector databases Finance background is not required. Intellectual … defined, low-risk task lists You want heavy supervision You are uncomfortable working directly with senior stakeholders You are looking for a purely academic ML role Upside Direct learning from investors Rapid technical growth Path toward AI Engineer/ML Engineer/Quant Data roles High visibility within ...

full-stack development and AI system design to complex enterprise environments. This role demands hands-on experience in building and deploying AI/ML solutions, a strong grasp of software engineering principles, and proficiency with cloud platforms. You will play a key role in developing scalable, intelligent systems that drive … pipelines. AI System Development: Implement and optimize AI models, ensuring they are scalable, maintainable, and production-ready. Work on GenAI, Agentic AI, and classic ML solutions. Enterprise Integration: Integrate AI solutions with existing enterprise systems and ensure seamless operation within the client and #39;s technology stack. Collaboration: Work closely ...

full-stack development and AI system design to complex enterprise environments. This role demands hands-on experience in building and deploying AI/ML solutions, a strong grasp of software engineering principles, and proficiency with cloud platforms. You will play a key role in developing scalable, intelligent systems that drive … pipelines. AI System Development: Implement and optimize AI models, ensuring they are scalable, maintainable, and production-ready. Work on GenAI, Agentic AI, and classic ML solutions. Enterprise Integration: Integrate AI solutions with existing enterprise systems and ensure seamless operation within the client's technology stack. Collaboration: Work closely with cross ...

enterprise data strategy. The ideal candidate will partner with business and technology leaders to deliver high-performance data systems that support analytics, AI/ML, and real-time insights. Key Responsibilities Architecture & Solution Design Architect end-to-end Databricks Lakehouse solutions including data ingestion, ETL/ELT pipelines, Delta Lake … Proven experience leading teams and delivering enterprise-grade data solutions. Preferred Qualifications Databricks certifications (e.g., Databricks Certified Data Engineer Professional, Architect ). Experience building ML solutions using MLflow or integrating with cloud ML services. Experience in BFSI, Retail, Telecom, or Healthcare data environments. Experience with real-time data processing (Kafka ...

pipelines at scale Background in operations research or supply chain optimisation Exposure to LLMs as signal sources — extracting structured market intelligence from unstructured text ML Skills We're Looking For This role sits at the intersection of classical econometrics and modern machine learning. You don't need … outperform neural approaches on structured data, and vice versa. Strong intuition for regularisation, hyperparameter tuning, and avoiding leakage in time series cross-validation. Deep Learning for Sequences. Hands-on experience with temporal architectures - LSTMs, GRUs, Temporal Fusion Transformers, N-BEATS, or similar. Understanding of attention mechanisms and when transformer ...

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 ...

with one or more languages (e.g. Python, Java, Scala, Go ) Pragmatic approach to solving problems Nice to have: keen interest in modern AI/ML techniques Why Indicium AI Fast-growing start-up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely … meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget ...

integrated technical blueprints covering AI, analytics, applications, integration, and security. Define and communicate the digital and data architecture vision - including use of generative AI, ML platforms, and automation accelerators. Balance innovation with cost efficiency, delivery feasibility, and risk. User-Centric Problem Solving - Solutions must be designed with end-user productivity … experience: Digital Architecture 10+ years designing large-scale digital transformation solutions - including AI, data platforms, and cloud architectures. AI & Data Expertise in AI/ML platforms (Azure AI, AWS SageMaker, Google Vertex AI), data governance, analytics, and responsible AI practices. Cloud & Integration Strong understanding of hybrid and multi-cloud architectures ...

integrated technical blueprints covering AI, analytics, applications, integration, and security. Define and communicate the digital and data architecture vision - including use of generative AI, ML platforms, and automation accelerators. Balance innovation with cost efficiency, delivery feasibility, and risk. User-Centric Problem Solving - Solutions must be designed with end-user productivity … experience: Digital Architecture 10+ years designing large-scale digital transformation solutions - including AI, data platforms, and cloud architectures. AI & Data Expertise in AI/ML platforms (Azure AI, AWS SageMaker, Google Vertex AI), data governance, analytics, and responsible AI practices. Cloud & Integration Strong understanding of hybrid and multi-cloud architectures ...

execution across complex migrations, AI enablement, and digital modernisation. Architect and deliver agentic AI systems (LangGraph, LangChain, tool-calling, memory), RAG pipelines, and enterprise ML workloads. Skilled in Azure and AWS AI stacks, Fast API microservices, Kubernetes, and secure vector search patterns. Strong background in FinOps, secure landing zones … contributor to AI leadership content, events and thought leadership, simplifying frontier AI for executive audiences. Core Capabilities Enterprise AI & Architecture Agentic AI, RAG, enterprise ML in regulated FS Azure AI Studio, Azure AI Search, Fabric, Document Intelligence AWS Bedrock & SageMaker pattern experience FastAPI, Kubernetes, Docker, CI/CD (ADO/ ...

Master's degree in one of these fields with 2+ years of hands-on professional and/or research experience in AI/ML or related technical fields applied to audio/music. Extensive hands-on experience in designing innovative AI/ML model architectures, training models from scratch, modify … trained model architectures, retrain, and incorporate methodologies, layers and structures from research papers. Up-to-date knowledge of the latest AI/ML advancements, including current scientific literature, tools, models, and best practices. Proficiency in Python, with a deep familiarity and fluency in coding, including expertise with ML frameworks (e.g. ...

Engineer to design, implement, and maintain security solutions that protect complex systems and sensitive data, with a strong focus on GenAI and AI/ML platforms. This role works closely with data scientists, engineers, and security teams to ensure innovation is delivered securely and at scale. This position is well … suited to security professionals who want to transition into a GenAI-focused career path and develop deep expertise in securing AI/ML systems. Key Responsibilities Threat Analysis and Vulnerability Assessment Conduct regular threat modelling and vulnerability assessments across AI/ML systems, including data pipelines, model APIs, and GenAI ...