1 to 25 of 38 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 ...

collaborate extensively with scientific and operational teams to ensure the robustness, scalability, and reliability of AI tools. By implementing automation and standardisation throughout the ML lifecycle, your work will support faster, data-informed decision-making and innovation. Key Responsibilities: Design, build, and maintain resilient Machine Learning Operations pipelines … learning and large language models in practical operational settings, transforming research findings into functional business tools. Support the development and evaluation of ML models, including both standard machine learning and neural network-focused models, as requested by R&D teams. Develop standardised, reusable workflows that ...

client's organization, the Data Science team tackles complex business challenges across various domains, including customer experience, supply chain, and technology. They leverage advanced machine learning, generative AI, and large language models (LLMs) to optimize prices, enhance store operations, and personalize customer experiences. Team members enjoy a collaborative … expand their expertise and make a significant impact. Your Role:As a Data Scientist, you'll be at the forefront of developing and deploying machine learning solutions that transform decision-making processes. Your key responsibilities will include: Designing and implementing robust models to optimize business operations. Building ...

specialist for machine learning and GenAI. Working closely with data engineering, analytics, QA and product, you will build the foundations for scalable ML and AI use cases across the organisation. Key responsibilities include: Owning and delivering end-to-end ML and GenAI solutions, from data preparation through … production deployment. Designing and building robust ML pipelines, CI/CD processes and MLOps frameworks. Leading GenAI initiatives such as document processing, LLM fine-tuning, prompt engineering and orchestration using modern frameworks. Organising and processing large, complex datasets to enable AI and ML use cases. Acting ...

Engineer - LLM & Agentic Systems London - Hybrid. Circa £500 – £675 per day (and negotiable DOE) Contract (Outside IR35) Mid-level, Senior & Lead. 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 … data science and machine learning engineering teams already delivering in production, and are now expanding their AI capability significantly across the global organisation. This is a role for people who ship. If you've built LLM-powered systems and agentic workflows that are live in production - not demos ...

learning across Affinity Water on a 24 month FTC. Youll work with data scientists, engineers, architects, and stakeholders to deploy, monitor, and maintain ML models in robust, scalable, and secure production environments, turning advanced analytics into sustained business value. What Youll Do Build, maintain, and optimise automated ML deployment … pipelines with CI/CD, containerisation, and orchestration. Monitor model performance, data drift, and system health to ensure reliability and availability. Support ML platforms and infrastructure on-premise or in the cloud (AWS, SageMaker), ensuring scalability and security. Collaborate with data scientists to productionise models and embed ML Ops best ...

Computer Vision ML EngineerFully Remote6 Month ContractOutside IR35£550 to £600 per day The Company They are a global technology organisation with a dedicated research function focused on applied AI and graphics. The team operates at the intersection of machine learning, computer vision, and low-level optimisation, working … practical delivery, aiming to push image and video quality beyond current standards. The Role and Deliverables Develop and experiment with advanced computer vision and machine learning techniques for image and video enhancement. Apply Generative AI approaches such as diffusion models and GANs to 2D-to-3D conversion ...

learning delivery . This is a hands-on senior platform role , focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine … that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI/ML platform , not just running clusters. You will: Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams Extend Kubernetes with MLOps-specific ...

forefront of AI-driven customer engagement. Their focus is on enabling highly personalised, real-time decisions across digital channels using advanced analytics and machine learning. The business combines deep domain expertise with strong delivery capability, supporting enterprise clients across multiple sectors. The Role and Deliverables You will take ownership … data science delivery, from problem definition through to deployment in live environments. * Design, build, and deploy machine learning models within Pega-based decisioning platforms. * Lead model development across feature engineering, training, validation, and ongoing performance monitoring. * Work closely with application and logic developers to embed models into operational ...

INSIDE IR35 | Remote (occasional London travel) The Opportunity We're looking for a Technical Product Lead to help shape and mature a growing machine learning platform capability. This role is focused on moving beyond short-term delivery into a well-structured, scalable MLOps environment that can be leveraged … machine learning platform initiatives at an enterprise level Strong background in defining platform strategies, standards, and operating models Solid understanding of the ML lifecycle, including deployment, monitoring, and governance Experience working within modern cloud-based data and ML environments A background that spans product, architecture, and engineering disciplines ...

Company They are a large, data driven organisation operating at scale, with a strong focus on using advanced analytics and machine learning to inform decision making. The business invests heavily in its data platforms and engineering capability, creating an environment where robust MLOps practices are essential. Teams … engineering within production environments. Hands on capability with Palantir Foundry, including pipelines and operational workflows. Solid Python skills and experience supporting end to end ML lifecycles. Practical knowledge of CI/CD, containerisation and cloud based infrastructure. Confidence working with complex data systems and multiple stakeholders. How to Apply ...

contract basis - Hybrid working - London based The AI Engineer will join a cross-functional data team to design, develop, and deploy AI/ML models that tackle real business problems - from prediction and automation to customer personalisation and decision intelligence. You'll play a hands-on role in taking models … versioning, and monitoring Contribute to documentation, knowledge sharing, and process improvements Profile The AI Engineer will have a proven commercial experience delivering AI/ML projects end-to-end in production environments Strong Python skills with hands-on use of ML libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face ...

deploy agentic workflows, RAG pipelines, and LLM powered applications for internal and customer facing products Work across structured and unstructured data, collaborating closely with Machine Learning and GenAI specialists Own cloud based deployment, CI/CD, and productionisation of models and services Partner with product managers, engineers … scope projects Communicate progress and outcomes clearly, building trust through delivery and technical leadership This role sits within a balanced team of traditional ML and GenAI specialists, with exposure to both classic modelling and modern AI use cases. Your Skills and Experience Strong Data Science fundamentals and experience delivering classical ...

teams to drive AI capability forward, while remaining hands-on with model development, optimisation, and deployment. Key Responsibilities Design and build advanced AI/ML solutions for complex data-driven challenges Develop and optimise Generative AI models and LLM-based applications Work with transformer architectures, SLMs, convolutional models, and related … Small Language Models (SLMs) Transformer architectures Convolutional models Experience designing and optimising graph databases Experience building MCP servers Proven ability to apply AI and ML techniques to solve complex data problems Experience delivering scalable and repeatable AI solutions Generative AI (GenAI) experience is essential Due to the nature ...

using data and AI responsibly at scale. The business operates in a complex environment where reliability, security and governance are essential. Data, analytics and machine learning teams work closely together, supported by a central platform function focused on operational excellence. The Role and Deliverables … Lead platform releases and upgrades, including planning, testing, communication and rollback where required. Implement and maintain security, risk and compliance controls for data and machine learning workloads. Manage the platform roadmap, cost optimisation activities and key supplier relationships. Your Skills & Experience Strong experience operating Palantir platforms in production ...

people-management position. You'll lead through technical depth, judgement, and delivery , building the tooling, workflows, and operational foundations that allow data scientists and ML engineers to experiment, deploy, and run ML and LLM-based workloads safely and at scale . The focus is not simply on running Kubernetes clusters … scalable inference and LLM-based workloads Build and operate model serving and inference platforms within Kubernetes environments Work closely with data scientists and ML engineers to ensure the platform is usable, well-documented, and aligned to real workflows Own platform operability, reliability, security, and supportability in production Troubleshoot complex issues ...

Data Science, Data Analytics or Commercial Analytics role Advanced SQL and strong data manipulation skills Experience using Python or R for predictive modelling and machine learning Strong dashboarding and visualisation skills using Tableau, Power BI or similar Excellent commercial awareness and analytical thinking Ability to communicate complex findings ...

actively working with LLMs and modern AWS AI tooling . What They're Looking For Hands-on experience with AWS AI/ML services , including: AWS Bedrock (key) SageMaker Lambda, API Gateway Experience building Generative AI/LLM-powered solutions Strong Python development skills Experience integrating AI into production systems ...

looking for a Machine Learning Engineer who excels at turning AI research into scalable, production-grade reality. You will be responsible for the "heavy lifting" building the frameworks that allow our AI models to reason, the pipelines that feed them, and the infrastructure that ensures they are fast ...

processes Experience with Python or R for advanced analytics, automation, or experimentation Knowledge of statistical methods and experimentation (A/B testing) preferred Machine learning and Generative AI experience is a plus Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical ...

market strategies and sales performance Data Science & Modelling Design, develop, and iterate on predictive models that drive measurable business impact Apply statistical and machine learning techniques to large, complex datasets Ensure models are scalable, interpretable, and aligned with business needs Data Collaboration & Enablement Work closely with Data Engineering ...

Article 15. Technical Requirements AWS Bedrock Expert: Hands-on experience with Bedrock Agents, Knowledge Bases, and model lifecycle management. AI/ML Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP ...

domains. Strong SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data ...

lifecycle governance.Lead platform releases and upgrades, including planning, testing and communication to stakeholders.Implement and maintain security, risk and compliance controls across data and machine learning workloads.Manage platform roadmap, cost optimisation and supplier relationships to maximise value and developer experience. Your Skills and Experience Strong experience operating Databricks ...

years' experience in Data Science or a similar analytical role Strong Python skills and experience working in shared codebases Experience with data science/ML frameworks Solid understanding of data preparation, analysis and modelling Ability to translate data insights into practical outcomes Strong communication and collaboration skills Curious mindset with ...