1 to 25 of 40 Contract Machine Learning Jobs in the UK excluding London

work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. You will: Lead end-to-end machine learning delivery , from problem definition through experimentation … with internal teams and selected external partners working at the leading edge of AI What we're looking for This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. Essential experience: Proven experience operating at senior practitioner level as a Machine ...

Months long The Company They are a data-driven consulting and analytics organisation that helps clients make smarter decisions through advanced measurement, machine learning, and AI solutions. Their teams work across data, analytics, engineering, and consulting disciplines to solve complex business challenges. They foster a collaborative environment where … advanced machine learning and AI solutions that drive measurable business outcomes. Develop, optimise, and deploy machine learning models and scalable ML pipelines. Build and maintain machine learning infrastructure, ensuring strong governance, version control, and model lifecycle management. Apply advanced statistical modelling and experimentation techniques ...

Agent Engineer/Machine Learning Engineer SC Cleared | Remote | £465/day Inside IR35 | Initial 3-Month Contract We're working with a leading software company specialising in Enterprise AI and digital transformation. Their AI platform enables organisations to securely connect, discover and utilise enterprise data to power … driven search, intelligent automation and regulatory compliance. They are looking for an SC Cleared AI Agent and Machine Learning Engineer to join their team from August, supporting the delivery of an exciting Central Government programme helping to develop intelligent AI agents and machine learning capabilities that ...

Learning Engineer £700-750/day outside IR35 Remote working - once a month in Bristol 3-month initial contract MUST have experience of ML in Snowflake. Looking for a Machine Learning Engineer to lead a migration of ML capabilities from existing AWS Sagemaker to Snowflake ML - will … need to proof out can existing ML models work in Snowflake. This role will also drive optimisation of ML capabilities within Snowflake. Machine Learning Engineer, key skills: Strong hands-on experience with Snowflake ML Python expertise - Scikit-Learn, TensorFlow, Pytorch etc Strong understanding of model deployment MLOps - experienced ...

Learning Engineer £700-750/day outside IR35 Remote working - once a month in Bristol 3-month initial contract MUST have experience of ML in Snowflake. Looking for a Machine Learning Engineer to lead a migration of ML capabilities from existing AWS Sagemaker to Snowflake ML - will … need to proof out can existing ML models work in Snowflake click apply for full job details ...

Event Hubs, and Azure Functions. Data Topologies: Build highly resilient, real-time ingestion pipelines feeding into ADX, Data lake, and cloud-native AI/ML workspaces. Digital Twin Modeling: Formulate and deploy Azure Digital Twins concepts to map complex physical operations to digital, event-driven architectures. Industrial Protocols & Secure Networking … consulting. Demonstrable track record of successfully delivering full-lifecycle digital factory or critical infrastructure projects (ISA-95 frameworks). Proven experience operationalizing AI/ML workloads within industrial or edge-constrained environments. Active, relevant certifications in Azure architecture (AZ-104, AZ-900, or equivalent IoT/AI specialties) are highly ...

looking for a GCP Data Engineer to join a multidisciplinary team responsible for building and operating robust, cloud-native data infrastructure that supports ML workloads, particularly PyTorch-based pipelines. The Role You'll focus on designing, building, and maintaining scalable data pipelines and storage systems in BigQuery, supporting ML teams … Nice to Have Experience with additional GCP services, such as: Cloud Run Cloud SQL Cloud Scheduler Exposure to machine learning workflows (not ML engineering) Some pharma or life sciences experience, or a genuine interest in working with domain-specific scientific data Please send your ...

assess adoption and effectiveness. Engage senior stakeholders to promote governance as a business-enabling capability. Support governance requirements across analytics, reporting, AI, and machine learning initiatives. Drive improvements in metadata management, data lineage, business glossaries, and data cataloguing. Ensure compliance with data protection, privacy, security, and regulatory obligations. … environments. Experience with tools such as Microsoft Purview, Databricks, Collibra, Alation, or similar governance platforms. Desirable Experience Experience supporting Data Governance requirements for AI, Machine Learning, or Generative AI initiatives. Understanding of Responsible AI principles and governance frameworks. Previous exposure to Master Data Management (MDM) programmes. Experience within ...

viable software and infrastructure, typically using our core stack: React, Typescript, Material UI, Node.js, Python, PostgreSQL, Docker, Kubernetes, Helm, AWS Work with internal colleagues (ML Engineers, ML Scientists, Product Managers etc) and external project partners to understand technical requirements, constraints and delivery priorities. Use code review, pair programming, mentoring … issues and trade-offs clearly to non-specialists. Desirable Experience architecting and designing complex distributed software systems for cloud environments. Experience developing and deploying machine learning, AI or data-driven systems in production or near-production settings. Technical Lead and/or Line Manager experience. Why Join ...

Desirable Skills: Professional certifications in AWS, Azure, GCP, or Data Engineering. Experience within aerospace, defence, manufacturing, or highly regulated industries. Knowledge of AI/ML platforms and MLOps practices. Experience with graph databases and knowledge engineering solutions. Experience implementing data mesh or data fabric architectures. Enterprise Architecture experience. Experience leading ...

approach JSON/XML response validation Hands-on AI Experience Hands-on experience integrating AI into testing workflows Understanding of AI/ML testing challenges and solutions Experience with AI-powered test generation or analysis tools ADDITIONAL REQUIREMENTS Strong experience in software testing and automation Strong understanding of CI/ ...

Code. Desirable: Experience within UK Defence, Intelligence, or National Security sectors. Knowledge of big data tools such as Kafka, Spark, or Hadoop. Support for machine learning or advanced analytics workloads. Experience working with classified datasets and Elastic Stack (ELK). If you're ready to contribute to vital ...

Server SSAS Tabular (DAX), Dimensional Modelling, Data Warehousing. Ecosystem & Management: Azure DevOps, SQL MI/DB, Active Batch, APIs, Event Hub, Kafka, AI/ML concepts. Randstad Technologies is acting as an Employment Business in relation to this vacancy. ...

related field. Experience building large-scale enterprise or SaaS platforms. Familiarity with serverless architectures and cloud-native development. Exposure to AI/ML integrations or event streaming platforms is a plus. Contributions to open-source projects or active participation in the Node.js community are desirable. ...

optimise the lakehouse environment, including schema management, data contracts, partitioning strategy, and performance optimisation. Build reliable, production-grade data foundations that support analytics, machine learning, and data science initiatives. Establish and promote engineering best practices across infrastructure as code, CI/CD, observability, and code quality. Provide technical ...

agent AI architectures and tool invocation frameworks Experience with CCaaS platforms (Google CES/CXAS, Genesys, NICE, Amazon Connect) Strong understanding of AI/ML lifecycle, MLOps, and data governance Experience working with Tier-1 banks or large financial institutions Certifications Google Cloud Professional Data Engineer (Highly Preferred) Google Professional … Cloud Architect Google Machine Learning Engineer Certifications in Conversational AI (Dialogflow CX or equivalent) TOGAF/Enterprise Architecture certifications Data certifications (good to have): CDMP, Databricks, Snowflake ...

initiatives. The role sits within a People Development function, but we're primarily looking for strong technical data engineering experience. Previous exposure to learning, skills or HR data would be beneficial, but is not essential. What you'll be doing - Designing and building scalable data pipelines using Microsoft Fabric. … practices. Excellent communication and stakeholder engagement skills, with the ability to work across technical and business teams. Desirable experience- Experience preparing data for AI, machine learning or advanced analytics use cases. Experience working within a regulated industry. Exposure to learning, skills, HR or competency data. Experience with ...

transitioned into production by engineering teams. Exploratory Data Science & Modelling Explore structured and unstructured datasets to identify patterns and opportunities Build proof-of-concept ML and statistical models Apply NLP and semantic techniques to classify, compare and relate text data Test and evaluate different modelling approaches NLP & Text Analytics Work … Strong experience as a Data Scientist or Applied Data Scientist Hands-on experience with NLP and text analytics Strong understanding of statistical modelling and ML techniques Experience building prototypes/PoCs rather than purely production systems Python (or R) for data science and modelling Familiarity with techniques such as embeddings ...

Analytics Customer Insights CRM Billing & Charging BSS/OSS Digital Channels & Self-Service APIs & Systems Integration Cloud Data Platforms (AWS, Azure or GCP) AI, Machine Learning or Advanced Analytics Key Skills Product Strategy Product Roadmaps Scrum Agile Delivery Data Products Data Platforms Customer Data Analytics Product Discovery Backlog ...

enabled services, coordinating cross-functional teams of data/knowledge analysts, engineers and product specialists. Manage delivery of AI solutions leveraging automation capabilities, machine learning, natural language processing, generative and agentic AI, from initiation through to handover. Oversee integration of AI capabilities into existing enterprise systems … tracking velocity, quality and technical debt with the engineering team. Manage cross-team dependencies across data pipelines, APIs and cloud infrastructure, working closely with ML engineers and platform teams. Experience At least 12 years IT industry experience across project and programme management and service delivery, including delivering AI-enabled, digital ...

product instinct; senior leadership. Core Competencies: Strong AI, cybersecurity , and software engineering experience. Experience with LLM s and frontier AI models rather than traditional machine learning alone. Deep technical expertise and ability to actively contribute to engineering work. Exploit development/offensive security experience. Experience helping organisations strengthen ...

understanding of data modelling and data transformation principles. Ability to work effectively within collaborative engineering teams. Desirable Experience: Airflow Databricks Experience supporting AI or machine learning initiatives. Semantic layer experience. Exposure to Azure and multi cloud environments. Understanding of Inmon 3NF data modelling methodologies. Reasonable Adjustments: Respect ...

their Data, AI & Automation function on a contract basis. This senior agile delivery leadership role oversees delivery of data, analytics and automation products, dashboards, ML models, AI agents and across a business-wide transformation programme. If you're a senior delivery leader with a strong track record managing agile teams ...

experience Background as a technical project manager, senior scrum master, or engineer Hands-on exposure to AI platforms, Python-based systems, or AI/ML tooling Ability to explain how AI systems are built, deployed, and operated without being a specialist engineer Experience supporting or line-managing delivery roles ...

orchestration/agentic frameworks Familiarity with AI governance, risk management, and model validation frameworks Certifications Google Cloud Professional Architect (Mandatory/Preferred) Google Professional Machine Learning Engineer Certifications in Conversational AI platforms (Google CES, Dialogflow CX or equivalent) TOGAF/Enterprise Architecture certifications ...