76 to 91 of 91 Contract Machine Learning Jobs

Knowledge of IAM design, network security controls, encryption, secrets management, and cloud identity principles. Understanding of modern cloud architectures (serverless, microservices, managed AI/ML services) and their associated security risks. Ability to collaborate effectively with AI engineers, developers, and cloud teams to ensure secure implementation of AI workloads. Desirable … vector databases, model APIs, or data pipelines used by LLMs. Knowledge of responsible AI principles, model governance, or AI-specific threat modelling (e.g., adversarial ML, data poisoning, prompt injection). Background working in regulated industries such as Financial Services or Insurance. Strong stakeholder communication skills, including the ability to influence ...

What We’re Looking For Strong experience as an AI/ML Engineer or Applied ML Engineer Deep hands-on knowledge of Google Cloud Platform (Vertex AI, BigQuery, Cloud Run, GKE, Pub/Sub) Proven track record building LLM, GenAI, or traditional ML solutions end-to-end Comfortable in startup … scale-up environments — fast-moving, iterative, delivery-focused Strong Python engineering experience Experience with MLOps, CI/CD, IaC, and productionising ML models Ability to work collaboratively with product, data, and engineering teams Contract Details Location: Hybrid London (2–3 days onsite) Start Date: ASAP Length: 6 months rolling ...

Proven experience applying deep technical expertise across AI, ML, LLMs, agentic AI, and applied AI engineering, driving the design, evaluation, and governance of advanced AI solutions Proven experience designing, evaluating and governing multi-agent systems, incorporating memory structures, tool-use orchestration, planning algorithms and autonomy controls. Demonstrated ability to benchmark … communication skills, including senior-level engagement. Commercial awareness and a value-driven mindset. Use of professional networks and external influencers with clear evidence of learning and development to build and maintain skills and expertise. ...

schema validation, completeness, freshness, thresholds, and automated alerting. Enhance end-to-end pipeline resilience, monitoring, observability, failure handling, and recovery mechanisms. Integrate AI/ML features to boost reliability, anomaly detection, and operational efficiency. Collaborate closely with Data Product teams, Analytics Engineering, and Data Science to deliver production-grade data … expectations. Preferred Experience: Exposure to AI-enabled pipeline capabilities, such as anomaly detection or intelligent monitoring. Good understanding of MLOps or supporting deployment of ML models into production environments. Experience with CI/CD automation, testing frameworks, and observability tooling. Contracting Route: Timesheets via Umbrella Company This is an exceptional ...

data enabled future. Key Responsibilities Define and maintain conceptual, logical, and physical data models that accurately reflect business processes and support analytics, AI/ML, and operational needs Translate business requirements into robust data entities, attributes, relationships, and constraints; ensure traceability from requirements to models Establish and enforce GDM modelling … strategies) Drive data integration design across sources (CDC, event streaming, APIs), mapping source to target, resolving conflicts, and handling historical changes Support AI/ML readiness by modelling features, aggregations, and histories; collaborate on feature stores and model input/output schemas Embed privacy and security requirements into models ...

Contract (Inside IR35) Duration: 6 Months Job Summary: Our client is seeking a skilled and innovative Generative AI Engineer to join our AI/ML team. In this role, you will design, develop, and deploy cutting-edge generative models-including LLMs, diffusion models, and GANs-to solve real-world problems … ethical and responsible AI development , including bias mitigation and safety evaluations. Essential Skills, Experience, and Abilities: Strong programming skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers). Solid understanding of deep learning, NLP, and generative modeling techniques . Experience with training and fine ...

building and scaling data practices in complex regulated environments. Essential Skills & Experience Proven senior leadership in data strategy, enterprise data consulting, AI/ML capability development or data practice leadership within professional services or technology consulting Demonstrated success building and scaling multi-disciplinary data and analytics teams (from inception … growth consulting environments Deep technical fluency across modern data and AI stacks including cloud-native architectures (Azure, AWS), data platforms (Databricks, Snowflake, Microsoft Fabric), ML/AI tools (MLflow, LLMs, RAG pipelines, vector stores) and analytics technologies (Power BI, Tableau) Experience reviewing end-to-end data programmes and defining future ...

scale high-performance data pipelines across Microsoft Fabric (OneLake) and Snowflake . This role is central to powering our BI, analytics, and AI/ML initiatives. The Role Build & Integrate: Develop complex ETL/ELT pipelines and implement OneLake interoperability between Fabric and Snowflake. Architect: Operate a Medallion architecture (Bronze … GDPR compliance, and client ring-fencing (Row-Level Security). Innovate: Create SQL and PySpark notebooks to prepare feature engineering datasets for AI/ML models. Collaborate: Work independently via Jira/GitHub, maintaining high CI/CD and documentation standards. What You Bring 5+ years of Data Engineering experience. ...

/ELT pipelines and integration strategies. Ensure solutions meet NHS standards (FHIR/HL7), patient data sensitivity, and governance requirements. Provide architectural leadership on ML workflows and data platform modernisation. Collaborate with stakeholders and engineering teams to translate business needs into robust, future-proof data solutions. Desirable skills/knowledge … data pipelines and architectures. Deep understanding of ETL/ELT design and data modelling (star schema/lakehouse). Knowledge of ML workflows (basic to intermediate). ...

database, and UNIX domains to assess current systems, define future-state architectures, and outline migration stages, translating requirements into actionable Python implementations Build reliable ML-driven tools and scripts in Python (using frameworks like TensorFlow, PyTorch, or scikit-learn) to optimize workload automation, predict placement needs, and handle Legacy-modern … resolve issues in backup/storage workflows, leveraging Python for data analysis, Scripting, and prototyping enhancements Mentor junior engineers on Python best practices, ML model deployment, and agile development in a global team setting What You Bring Proven expertise in Python programming, including building scalable REST API Servers, integrating message ...

functional teams to deliver outcomes across Master Data Management (MDM), data integration, data engineering platforms, and discovery/analytics services (BI/AI/ML). This is a delivery leadership role with strong technical depth and executive presence. Ideal for: A seasoned delivery leader who can translate strategy into … data lake/lakehouse, orchestration (Airflow/MWAA), ETL/ELT (e.g., Glue), DQ frameworks. Discovery services: BI/analytics (Power BI/Tableau), ML feature pipelines, self-service data products. Oversee architecture conformance, security/compliance (PII/PHI, GDPR), and cost optimization. Ensure observability (logging/metrics ...

architect will provide technical leadership to data engineering and analytics teams and ensure the platform supports enterprise reporting, advanced analytics, and AI/ML initiatives. The ideal candidate should also have exposure to AI/ML data platforms and experience in the hospitality domain, supporting systems such as reservations, guest … Snowflake performance, workload management, and cost governance. Establish data governance frameworks including access control, data security, and compliance standards. Design and support AI/ML-ready data architecture for advanced analytics and predictive modelling. Provide architectural guidance to data engineering, BI, and analytics teams. Design architecture to support data consumption ...

Lead Software Engineer 6 month contract Based in Bristol Offering 80ph Outside IR35 Do you have experience in AI/ML development or model-based engineering? Do you have experience in Python, C#, or .NET? Do you want to work with an industry-leading company? If your answer to these … RHEL environments running on physical hosts, and with containerised applications) Demonstrated ability to shape technical direction and deliver complex systems Exposure to AI/ML development or model-based engineering Experience working in high-assurance, secure environments Multi-cloud and hybrid infrastructure knowledge If this all sounds like something ...

This is a fantastic opportunity to work as an ML Engineer on a remote basis, outside IR35, for a major pharmaceutical company. The key skills required for this ML Engineer position are: Building ML systems Computer Vision Building processing pipelines for image data AWS PyTorch, TensorFlow … have the relevant experience for this long term remote contract ML Engineer role, outside IR35, please do apply. ...

This is a fantastic opportunity to work as an ML Engineer on a remote basis, outside IR35, for a major pharmaceutical company. The key skills required for this ML Engineer position are: Building ML systems Computer Vision Building processing pipelines for image data AWS PyTorch, TensorFlow … have the relevant experience for this long term remote contract ML Engineer role, outside IR35, ple click apply for full job details ...

Enterprise AI Architect (Industry-Focused) Role Purpose Lead customer conversations and architect enterprise AI foundation stacks Stitch enterprise AI architecture & solutions, set up governance & LLMOps/MLOps Train talent convert prioritized use cases into MVPs ...