17 of 17 Contract Machine Learning Jobs in Central London

engaging closely with both technical and non-technical stakeholders. Delivery is supported by a strong technical assurance and review culture, encouraging challenge, learning and high standards. You will work within security, compliance and governance constraints where quality and judgement matter as much as pace. What You'll Be Doing … learning models Experience evaluating models through quantitative evidence and structured experimentation Strong software engineering practices, producing readable, testable and maintainable code Experience integrating ML solutions into production systems and workflows Feels confident working in secure, regulated or high-assurance environments In Return You'll work on genuinely challenging machine ...

global leading business is hiring a Senior Machine Learning Engineer. Hybrid position. Paying up to £1000 per day. Outside IR35 Experience and skills required for the Senior Machine Learning Engineer, Quantisation, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ In depth experience with … following Machine Learning: Quantization, PEFT, DeepSpeed, ONNX, TensorRT Deep Learning with PyTorch Experience with Strong experience working with inference servers like multi-LoRa, LoRA Exchange, TitanML ️ Previous industry exposure to multi-node HPC clusters ️ Experience with Large language models - OpenAI, Mistral, Claude, LLaMA Large language model ...

global leading business is hiring a Senior Machine Learning Engineer. Hybrid position. Paying up to £1000 per day. Outside IR35 Experience and skills required for the Senior Machine Learning Engineer, Quantisation, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ In depth experience with … following Machine Learning: Quantization, PEFT, DeepSpeed, ONNX, TensorR click apply for full job details ...

modern data architectures Data quality, governance and performance optimisation Working within complex or regulated environments Youll also need practical exposure to AI or Machine Learning … initiatives, including areas such as: AWS Bedrock or similar AI services Generative AI and prompt engineering concepts AI-enabled data products or workflows Supporting ML pipelines or working alongside Data Science teams Experience with Terraform, APIs, CI/CD or DataOps practices would be beneficial. Interested? Please apply below. ...

Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within … Proven expertise in using Palantir Foundry's ontology to model data in ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine learning pipelines. Deep understanding of Foundry's data governance and metadata management: Strong knowledge of how Palantir Foundry manages data governance, metadata, lineage ...

high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes. … engagement - Work directly with users and customers to understand real-world needs and translate them into well-defined AI problems - Apply modern AI and machine learning techniques using strong Python engineering skills - Build solutions that can operate in secure, constrained or offline environments without reliance on external services ...

through their full lifecycle, from deployment to live operation and support - Ensure systems are supportable, secure, monitored and reliable in production - Configure and operate machine learning workloads in production, focusing on running models rather than training - Monitor system performance, identify issues and troubleshoot problems in live environments - Work … infrastructure-as-code tools such as Terraform - Confidence taking responsibility for live systems and outcomes MLOps experience is highly attractive, particularly operating AI or machine learning models in production. The focus is on operating models, not training them. In Return You'll work on platforms that support ...

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 ...

formally signing off whether AI-generated insights meet business and delivery standards. AI & Machine Learning Lifecycle - Previous experience supporting AI/ML initiatives and AI agents from development through to deployment, with an understanding of model validation and continuous improvement. SQL Proficiency - Strong working knowledge … business questions and translate requirements into trusted analytical models. Adaptability - Comfortable working in an agile environment where priorities evolve, AI capabilities mature and continuous learning is encouraged. This is an exciting opportunity to work at the forefront of AI-enabled analytics, helping shape how the organisation leverages LLMs, Looker ...

replication/CDC - Qlik Replicate, Oracle Golden Gate Data modeling - ERStudio Message-oriented data movement API design and access Data Analytics and AL/ML - AzureML Data virtualization Streaming data Data integration and ETL/ELT Tools - Matillion, Alteryx, Qlik PowerBI Machine Learning, Generative AI and Agentic AI. ...

Data Engineer for a 12-month contract. In this role, you will help design and optimize high-throughput data frameworks that feed advanced machine learning models and drive high-performance user applications. This role offers a unique chance to work across a modern, full-stack cloud data environment … BigQuery/Snowflake Orchestration: Airflow Backend: Python, SQL, Shell Languages: Scala/Java DevOps: Terraform, Docker, Kubernetes Observability: Monte Carlo BI: Looker AI/ML: MLOps London | 12 Months Contract |£400 a day Inside IR35 If you want to work in an organisation where engineering quality is deeply respected, this ...

experienced GCP Engineer to join them on a contract basis They are a global consultancy with a special focus on data analytics, machine learning, cloud infrastructure and business reporting In response to their ongoing growth and strategic initiatives, they are looking for a skilled DevOps Engineer specialising ...

proficiency in writing production-grade Python or C++ code for training, evaluating, and deploying robotic policies, particularly on custom hardware platforms. Fluency with modern ML toolchains (PyTorch/JAX, RL or behaviour-cloning libraries, agentic frameworks, MCP, distributed training workflows). Track record of leading cross-functional design reviews ...

stakeholders and translating complex tech into real-world impact What we're looking for: Strong experience across software engineering, data platforms, and AI/ML Proven leadership in DevOps, cloud, and modern engineering practices Experience delivering in innovative or regulated environments Ability to operate in ambiguity and influence at senior ...

platform usability and operational excellence matter. The work sits at the intersection of platform engineering, DevOps and MLOps, with close collaboration across data science, ML engineering, software engineering and architecture click apply for full job details ...

commercial performance into clear pricing decisions and measurable business impact. You'll sit at the intersection of commercial strategy, pricing, analytics, AI/ML tools, merchandising, and operations, helping shape pricing decisions through analysis, experimentation, and stakeholder influence. Key requirements: Strong experience in e-commerce/digital commerce/pricing …/commercial analytics Advanced analytical skills using SQL, Tableau (or similar BI tools), spreadsheets Experience working with AI/ML-driven pricing or recommendation tools Ability to translate complex analysis into clear commercial recommendations Strong stakeholder management and consulting-style problem solving Nice to have: Experience in subscriptions, marketplaces ...

platform usability and operational excellence matter. The work sits at the intersection of platform engineering, DevOps and MLOps, with close collaboration across data science, ML engineering, software engineering and architecture. The role requires comfort working 'in the weeds' - understanding how platforms behave under real workloads, and designing guardrails that balance … experimentation (including notebooks), packaging, deployment and versioning - Enable scalable inference and LLM-based workloads, including serving and optimisation considerations - Work with data scientists and ML engineers to ensure the platform is usable, well documented and fit for purpose - Own platform operability, reliability, security and supportability in live production environments - Troubleshoot ...