1 to 25 of 27 Contract Machine Learning Jobs in the South East

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 ...

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 ...

Senior Data Scientist/Machine Learning Specialist 6 Month Contract | Inside IR35 | Hybrid London 2 to 3 days per week £637.50 to £935 per day Start Date: 1st September 2026 | Interviews taking place immediately We are supporting a leading consultancy on an engagement focused on advanced analytics, risk … modelling and data manipulation Advanced SQL skills for querying structured datasets Proven experience developing and validating machine learning models Experience with ML deployment using containerisation or pipeline tools such as SageMaker or similar Strong experience with Git for version control Solid understanding of time series analysis and trend ...

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 ...

solution into production. 1x Data Scientist - (Predictive Maintenance)Must have:-· Full stack data scientist with both science and engineering skills to develop ML solutions and get them into production· Senior individual contributor...able to draw upon a wide experience of problems and solutions to technically guide more junior data scientists.· Expert … applied machine learning, including the techniques currently being used in PRISM (XGBoost and SHAP)· Experience of using machine learning to solve commercial predictive· Ideally, experience with Causal MLBoth roles require Stakeholder management skills (defining and prioritising requirements, contributing to product roadmap, supporting adoption). Hays Specialist ...

existing .NET-based platform and distributed computing architecture. Apply distributed computing principles to build scalable, resilient, and secure solutions. Integrate AI and machine learning capabilities into prototype applications, including the selection, evaluation, and implementation of appropriate models. Collaborate with technical architects and engineering teams to align new capabilities … rapid prototypes, proofs of concept, or innovation-focused software solutions. Strong appreciation for user-centred design and building intuitive user experiences. Experience integrating AI, machine learning, or advanced analytics capabilities into software applications. Ability to evaluate, select, and integrate appropriate AI models, including large language models and related ...

Engineer/ML Engineer £700-£800 pd via Umbrella Fully Remote- occasional UK office visit Leading Financial Services business is looking to bring in an experienced AI Engineer/ML Engineer with commercial experience in Generative AI and/or Agentic AI solutions. Key Requirements Proven experience delivering GenAI … architecture, orchestration, and scalable deployment practices Preferred Experience Building AI agents, RAG pipelines, or enterprise AI applications Working with cloud-based AI/ML platforms and data storage solutions Collaborating with engineering and product teams to deliver production-ready AI systems This role would suit someone who combines strong technical ...

metrics, and release assurance Ensure compliance with accessibility, security, and performance standards Key Skills & Experience Essential Strong experience delivering quality assurance for AI/ML solutions across the full lifecycle Hands-on expertise with Microsoft-based environments (e.g. Azure testing tools, AI platforms) Proficiency in one or more: Python, Java ...

Data Science AI Engineer - RAG Chatbot LangGraph exp London - Hybrid. Circa £500 – £675 per day (and negotiable DOE) Contract (Outside IR35) Agentic AI/Machine Learning. Company: Our client is a globally established B2B information and professional services business, operating across multiple high-value industry sectors. They have established … Experience working in collaborative software environments using Git A candidate will likely have Exposure to recommendation systems or time-series forecasting Solid understanding of ML models beyond “from sklearn import ...” A Masters or higher in a quantitative discipline (Statistics, Maths, Computer Science, Economics, etc.) Nice to have A mentorship ...

Google Cloud Platform, etc; You will own engineering efforts to provide partner teams within the organisation with data sources that build the AI/ML user experience. This a 12 months contract Hybrid role with the opportunity for the role to go permanent. What You'll Do: Build and maintain ...

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 ...

data structures Hands-on expertise in disparate technologies such as cloud computing, native device development, CMS solutions, service-oriented architecture, user interface development, or machine learning. How to Apply: If you're interested in this role, click 'apply now' to forward an up-to-date copy of your ...

cloud platforms (AWS, Azure) and modern infrastructure (e.g., containers, Kubernetes, CI/CD pipelines). Experience with MLOps/LLMOps or supporting AI/ML systems in production environments. Solid understanding of security, governance, and cost management within cloud-based platforms. Experience working in financial services or a regulated environment ...

Experience managing project risks, dependencies and delivery reporting. Nice to have Experience within Life Sciences, Pharmaceuticals or another regulated industry. Exposure to Data, AI, Machine Learning or Large Language Model (LLM) programmes. Experience supporting regulatory, compliance or digital transformation initiatives. Scrum Master certification (PSM, CSM or equivalent). ...

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 ...

Background : Degree in life sciences, data science, a related field or have equivilent working experinece Basic programming skills Excellent analytical skills Experience with NLP, machine learning, or scientific data would be an advantage Familiarity with metadata, ontologies, or knowledge graphs Company: Our client is a global biopharmaceutical company ...

that keep workstreams moving without imposing unnecessary process overhead. Experience required for AI Transformation Lead (strong AI Product & Workflows exp): Proven experience delivering AI, ML or data led product programmes/initiatives - with enough technical grounding to interrogate delivery status credibly and understand what engineers are actually building. A background ...

drive technical processes: engineering standards, security practices, including pen testing, SDLC ownership Work across the full stack, from front end through back end to ML/AI and data Whiteboard solutions directly with senior business stakeholders and translate requirements into build Mentor engineers and squad tech leads to understand … Python and FastAPI AWS architecture at scale, with a preference for open standards over cloud-native lock-in Full-stack understanding across FE, BE, ML/AI and data Comfortable challenging engineering decisions at code level while operating at architecture level Strong tenure and a coherent technical career trajectory Aviation ...

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 ...

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 ...

Technology Manager Salary: £274.68 per day (Inside IR35) Location: Kent Job Type: Full-time, 3-month contract initially with potential for permanent role Hours of Work: 37.5 hours per week Join a dynamic educational environment ...

tooling. Knowledge of MDM, reference data management, and semantic modelling. Experience with streaming platforms (Kafka, EventHub) and API-based integration. Understanding of AI/ML data preparation pipelines and feature store design. What Success Looks Like in This Role Clear, scalable data models adopted across teams and projects. High trust … work across diverse data domains including asset management, customer operations, leakage, regulatory reporting, and sustainability. Benefits: Competitive salary dependant on skills and experience Learning and development opportunities, including mentoring and a range of formal courses and open learning resources. Entry into the company annual bonus scheme. Annual leave ...

impact - ideal for someone who enjoys solving challenging problems and influencing through expertise. What you'll be doing Designing, building and deploying AI/ML solutions end-to-end Working closely with users to translate real-world problems into technical solutions Developing models using production-grade Python Deploying AI solutions … Excellent Python engineering skills (production-level) Experience building and deploying AI solutions without reliance on cloud-managed services Solid understanding of modern AI/ML techniques Experience with GPU-based model training/inference Ability to work independently and own delivery end-to-end Strong problem-solving skills and stakeholder ...