15 of 15 Permanent MLOps Jobs in the South West

Vertex AI, Azure ML, Amazon SageMaker Experience of creating delivery client-facing proof of concepts Strong knowledge of cloud platforms (Azure, AWS, GCP) and MLOps best practices Experience with Generative AI and LLMs (e.g., RAG, fine-tuning, prompt engineering) Desirable Degree in Business, Computer Science, Engineering, or related field Personal ...

/CD and infrastructure as code. • Experience of optimising systems for performance and scalability and reliability. • Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. • Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). • Knowledge of network protocols ...

/CD and infrastructure as code. • Experience of optimising systems for performance and scalability and reliability. • Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. • Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). • Knowledge of network protocols ...

Computer Science, Machine Learning, or a related technical discipline. Bonus Skills/Experience Public writing, talks, or threads about building with AI. MLOps and model serving experience (BentoML, MLflow, Vertex AI, SageMaker). Streaming and batch ingestion pipelines (Spark, Airflow, Beam, Glue). Healthcare or life sciences domain exposure. ...

Learning Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing ...

system design. Desirable (AI & Data) Vector DBs: Milvus, Weaviate, Pinecone Data orchestration: Airflow, Prefect, Dagster Search: ElasticSearch/OpenSearch AI frameworks: LangChain, Hugging Face MLOps: MLflow, Kubeflow If you are looking for an opportunity to work on mission-critical systems at the forefront of UK National Security? Apply ...

learning models, including NLP, computer vision, and predictive analytics. Own the ML lifecycle from data preparation through training, evaluation, and deployment. Implement and maintain MLOps workflows for continuous integration and delivery of ML models. Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability. Contribute to architecture … also crucial. Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Understanding of ML architectures, hyperparameter tuning, and performance optimisation. Experience with MLOps tools and CI/CD pipelines. Familiarity with data engineering concepts (ETL, data pipelines, SQL). Ability to analyse complex data and communicate insights effectively. ...

commercial deployment, focusing on performance, reliability, and maintainability. Key qualifications include expertise in TensorFlow and Python, experience in API development, and familiarity with MLOps practices. Joining means working on cutting-edge ML solutions and collaborating with experts across various fields. #J-18808-Ljbffr ...

infrastructure every pricing professional aspires to work with: · High-quality, accessible data · A fast, flexible rating algorithm — deploy changes in hours · Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development · An operating model that gives complete autonomy to pricing professionals to dream up an idea ...

Develop generalisable, multi-task manipulation policies Advance RL pipelines for fine-tuning beyond imitation learning Build sim-to-real transfer workflows Collaborate across perception, MLOps, and robotics teams Contribute to research direction and publish at top-tier venues Requirements MSc/PhD in ML, Robotics, Computer Science or similar Strong ...

Security £Up to £75,000 GBP Bonus Onsite WORKING Location: Manchester; Bristol; London , Central London, Greater London - United Kingdom Type: Permanent Data Scientist Specialist (MLOps & GenAI) Bristol Onsite/Hybrid Permanent Our client is a leading global technology and consulting organisation , recognised as one of Fortune's World's Most ...

Data Scientist (MLOps/GenAI Focus) Location: Bristol | Salary: Competitive + Benefits Join a cutting-edge AI team working at the forefront of GenAI, MLOps, and secure cloud deployments within highly regulated environments. The Role Youll act as a technical specialist and team lead, delivering innovative machine learning solutions: Building … based systems Acting as the SME for ML engineering and deployment Tech Focus Python, Docker, Linux, Git AWS or Azure CI/CD and MLOps pipelines Exposure to RAG, computer vision, or multimodal AI Why Apply? Work on next-generation AI use cases Strong focus on innovation and career progression ...

Security £Up to £75,000 GBP Bonus Onsite WORKING Location: Manchester; Bristol; London , Central London, Greater London - United Kingdom Type: Permanent Data Scientist Specialist (MLOps & GenAI) Bristol | Onsite/Hybrid | Permanent Our client is a leading global technology and consulting organisation , recognised as one of Fortune's World's Most … programmes, only candidates holding active UK Developed Vetting (DV) clearance can be considered for this role . This opportunity sits at the forefront of MLOps, machine learning, and GenAI , working within a specialist team delivering high-impact solutions in complex, high-assurance environments. The position combines hands-on engineering with ...

/ML Infrastructure Engineer (MLOps) – Robotics - Hybrid in Bristol We’re working with a cutting-edge robotics company building intelligent systems capable of learning real-world physical tasks. They’re now hiring an AI/ML Infrastructure Engineer to own the end-to-end infrastructure that powers model training, data … real-world robotic systems. This is a highly technical role sitting at the intersection of machine learning, distributed systems, and robotics - not a generic MLOps position. Key Responsibilities: Build and scale GPU-based training infrastructure for large ML workloads Develop robust data pipelines for multi-modal datasets Own experiment tracking ...

solutions (forecasting, optimisation, predictive models, etc.) Ensure solutions are scalable, secure and aligned to governance and regulatory standards Lead best practice across MLOps, model governance and lifecycle management Work with complex healthcare data to deliver meaningful, real‐world impact Skills & Experience Essential Strong technical background in AI/ML (Python … cloud – Azure/GCP/Snowflake) Experience with MLOps, scalable ML infrastructure and model governance Strong stakeholder management – able to influence both technical and non‐technical audiences Experience working closely with business teams, aligning AI solutions to priorities Experience building and developing data teams, including capability frameworks Curious, adaptable, accountable ...