1 to 25 of 38 MLOps Jobs in the South East

Learning, Generative AI, or Large Language Models (LLMs) Knowledge of RAG architectures and vector databases Experience with Docker, Kubernetes, and containerised applications Exposure to MLOps and AI deployment pipelines Knowledge of graph databases and knowledge graph technologies Previous experience working within Defence, National Security, or highly regulated sectors Contract Details ...

varied stakeholders Desirable Experience Knowledge of Knowledge Graphs and Graph Analytics Experience working within Defence, National Security, Government, or highly regulated environments Exposure to MLOps and model deployment practices Experience with vector databases and semantic search technologies Understanding of AI governance, ethics, and security considerations What's on Offer Hybrid ...

EXPERIENCE Strong experience delivering data science or machine learning solutions in production environments. Proven capability deploying and scaling models using appropriate engineering and MLOps practices. Advanced Python and SQL skills, with experience working in cloud environments such as AWS, GCP or Azure. Familiarity with modern tooling such as Databricks, version ...

PyTorch, or Hugging Face Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with MLOps tools (e.g. MLflow, SageMaker, Vertex AI) Comfortable working independently and delivering high-quality work to tight timelines Experience working in fast-paced environments or scale ...

GenAI solutions, from data preparation through to 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 ...

systems, not just research prototypes Strong software engineering fundamentals: modular design, testing, and version control Experience with cloud/GPU training infrastructure and MLOps workflows Ability to design evaluation and benchmarking frameworks Hands-on experience with pose estimation, object detection/segmentation, camera calibration, and sensor integration Preferred Experience Strong ...

resolve incidents efficiently. Continuously improve ML Ops processes, tooling, and automation for efficiency and reliability. What Were Looking For Essential: 5+ years experience in MLOps, DevOps, or related roles. Strong knowledge of ML lifecycle management, deployment, monitoring, and model maintenance. Hands-on experience with Python (and ML frameworks), containerisation (Docker ...

LLMs and RAG architectures. Python: Strong proficiency alongside PySpark for data engineering. Azure: Deep familiarity with native tools (AI Search, Document Intelligence). MLOps: Understanding of LLMOps frameworks for production deployment. 6 Months Remote Contract | £600 a day inside IR35 | Active Security Clearance Are you a seasoned technical leader with ...

frameworks such as PyTorch, TensorFlow, or JAX • Experience building scalable ML systems for production environments • Familiarity with cloud or GPU based training infrastructure and MLOps workflows • Experience designing evaluation, testing, and benchmarking frameworks • Hands on experience with object detection, segmentation, pose estimation, camera calibration, and sensor integration Additional experience with ...

successful deployment and adoption across the business. Take ownership of AI-enabled products, from early concept and prototyping through to production and scaling (including MLOps). Align AI initiatives with business objectives, defining use cases, and ensuring solutions deliver meaningful commercial value. Build strong relationships with stakeholders and external partners ...

years of experience in software engineering with a proven track record in a DevSecOps and Agile environment. Deep practical experience with RAG, LLMs, and MLOps, alongside expert proficiency in Python, React, and TypeScript. What will give you a competitive edge (preferred qualifications): Expert-level understanding of NLP, Embeddings, and Prompt ...

years of experience in software engineering with a proven track record in a DevSecOps and Agile environment.* Deep practical experience with RAG, LLMs, and MLOps, alongside expert proficiency in Python, React, and TypeScript.**What will give you a competitive edge (preferred qualifications):*** Expert-level understanding of NLP, Embeddings, and Prompt ...

Working closely with product, engineering, and business stakeholders to define requirements and trade offs. Deploying models using cloud infrastructure, CI/CD pipelines, and MLOps best practices. Taking responsibility for monitoring, performance, and ongoing improvement of live models. Your Skills and Experience Strong commercial data science experience with a solid ...

Adaptive Decision Manager in production environments is highly desirable. * Exposure to real-time decisioning, customer engagement, or personalisation use cases is advantageous. * Familiarity with MLOps practices and model monitoring frameworks is beneficial. How to Apply If you are looking for a senior data science role where you can combine technical ...

OpenAI, Document Intelligence (Form Recognizer), and Cognitive Search. Data Engineering: Expert proficiency in Python and PySpark for large-scale data processing. Operations: Familiarity with MLOps or LLMOps frameworks to support production-grade AI. Seniority: 15+ years of total IT experience, showing a clear progression into technical leadership. Candidate Profile Must ...

Senior MLOps Engineer East Molesey, England, United Kingdom Full-Time The Role: We seek an experienced expert to contribute significantly to an R&D team, bridging machine learning engineering with applied data science. You will improve and manage Machine Learning Operations on Azure and participate in creating, assessing, and advancing … Requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines, including MLflow, Azure ML, Azure DevOps, or similar tools. Strong programming skills in Python and familiarity with common ML/AI libraries, including Scikit-learn ...

security. Excellent program management, communication, and stakeholder alignment skills. Preferred Qualifications Experience rolling out productivity tools and measuring their adoption and impact. Knowledge of MLOps and AI deployment practices at scale. Familiarity with compliance and risk considerations for AI (e.g., data residency, model governance). Hands‐on technical expertise ...

MLOps Platform Manager, Palantir Fully Remote | 6 Month Contract | Outside IR35 | £550 to £650 per day Overview A leading organisation is looking for an MLOps Platform Manager to take ownership of its Palantir and production ML platform environment, covering Foundry, AIP and wider MLOps services . The role will focus … products into production in a structured and repeatable way. The Role This is a delivery-focused platform ownership role, sitting across: Palantir platform operations MLOps enablement Service management Security, governance and compliance Supplier and vendor management You will be responsible for the day-to-day running and improvement of Palantir ...

thermal, radar) Model optimisation/deployment tooling (ONNX, TensorRT) Edge deployment experience (e.g., NVIDIA Jetson or other resource-constrained devices) Familiarity with MLOps tooling (e.g., DVC, MLflow) Relevant open-source contributions in computer vision Interested? If this sounds like you, apply with your CV or get in touch to discuss ...

vulnerability management, and automation A passion for continuous improvement and mentoring others Desirable Experience in defence, aerospace, or other highly regulated sectors Exposure to MLOps, edge computing, or GPU-enabled workloads If this role is of interest, apply now or email your CV to me directly at (url removed ...

strong technical architecture.* Drive the transition from experimental AI capabilities to scalable production systems.**What We Are Looking For*** Strong engineering background (ML engineering, MLOps engineer, or equivalent).* Proven experience building complex systems from 0→1.* Ability to independently write production-quality code and build functional prototypes.* Practical experience ...

AXA Group is looking for a Machine Learning Engineer to join their Transversal Data team in Bristol. The engineer will play a key role in modernizing the machine learning platform, collaborating closely with cross-functional ...

LLMs and tools such as LangChain or similar ecosystems * Expertise in building applications including chatbots, document processing, or agent based systems * Solid understanding of MLOps, scalable architecture, and deployment best practices * Comfortable working in ambiguous, greenfield environments with high autonomy * Strong stakeholder engagement skills, with experience influencing senior leaders What ...

technical standards and ensure solutions are production ready. Key responsibilities include: Building and deploying machine learning models into live production environments Designing and maintaining MLOps workflows, including model lifecycle management Developing APIs and containerised services to support ML products Implementing DevOps best practices across development and production Collaborating cross functionally … data driven application development Hands on experience with at least one major cloud platform such as AWS, GCP, or Azure Familiarity with MLOps tooling, workflow orchestration, or feature stores is highly beneficial What They Offer Salary up to £110,000 plus a 20% bonus Hybrid working with two days ...

MLOps Platform Manager (Databricks) London £550-£650 Outside IR35 Per Day Fully Remote Start date: ASAP The Company They are a large, complex organisation with a strong focus on data, analytics and AI to support business critical decision making. The business operates at enterprise scale, with a mature data platform … estate and a growing demand for robust, well governed MLOps capabilities. Collaboration, operational excellence and responsible use of data and AI sit at the heart of how they work. The Role and Deliverables Own the day to day operation of the Databricks platform and associated MLOps services, ensuring availability, performance ...