10 of 10 MLflow Jobs in the City of London

Data / Machine Learning Ops Engineer

Hiring Organisation
DXC
Location
City of London, London, United Kingdom
Employment Type
Permanent, Work From Home
XGBoost, LightGBM, or CatBoost. Experience with model deployment tools (e.g., ONNX, TensorRT, TensorFlow Serving, TorchServe). Familiarity with ML lifecycle tools such as MLflow, Kubeflow, or Azure ML Pipelines. Experience working with distributed data processing (e.g., PySpark) and SQL. Understanding of software engineering best practices, including version control (Git). ...

AI Engineer Analyst

Hiring Organisation
Cerberus Capital Management
Location
City of London, London, United Kingdom
building simple data pipelines or transformation workflows is a plus. Exposure to ML Ops or production systems (nice to have) Familiarity with tools like MLflow, Weights & Biases, or cloud platforms (Azure, AWS, or GCP). Experience deploying models via APIs or lightweight services is a bonus, not a requirement. Software ...

AI Platform Architect

Hiring Organisation
Hays Specialist Recruitment Limited
Location
City of London, London, England, United Kingdom
Employment Type
Contractor
Contract Rate
£300 - £383 per day
Experience: 8-12+ years of experience in data/AI engineering or cloud architecture roles. Strong expertise with Databricks (Delta Lake, Unity Catalog, MLflow, Workflows). Deep understanding of AWS cloud architecture and services relevant to data/AI workloads. Hands-on experience designing large-scale distributed data systems ...

Full Stack Engineer

Hiring Organisation
BioTalent
Location
City of London, London, United Kingdom
Knowledge of SQL and/or NoSQL databases AI/Machine Learning Exposure to ML/AI workflows or data science tooling Experience with MLflow or model tracking systems Scientific/Data Applications Experience working with scientific or bioinformatics datasets Exposure to single-cell RNA-seq, DNA/RNA sequences ...

MLOps Engineer

Hiring Organisation
Harnham
Location
City of London, London, United Kingdom
Requirements 2+ years MLOps experience Strong Python, ML engineering and deployment foundations. Hands-on experience with AWS and SageMaker (essential). MLOps best practice: MLflow, CI/CD for ML, monitoring, reproducibility. Cloud and DevOps knowledge: AWS, Docker, IaC (CDK preferred). Experience deploying scalable pipelines and ML endpoints. Collaborative ...

Lead Data Scientist (Defence) - Onsite UK Clients

Hiring Organisation
Harnham
Location
City of London, London, United Kingdom
Working model: On-site 4–5 days/week across UK client locations in England & Scotland (travel required) • Tech Stack: Python, MLflow, Databricks, Docker, Azure OpenAI, simulation frameworks • Clearance: British citizenship/Security Clearance eligibility required • Visa: This role cannot sponsor Interested? Please apply below. ...

Senior Data Scientist/Researcher

Hiring Organisation
Monq
Location
City of London, London, United Kingdom
test splits are dangerous in time series and what to do about it. MLOps & Productionisation. Experience taking models from notebook to production: experiment tracking (MLflow, W&B), model versioning, feature stores, drift detection, and retraining triggers. You can build a model that doesn't just work once - it works reliably ...

Artificial Intelligence Engineer

Hiring Organisation
WorkGenius Group
Location
City of London, London, United Kingdom
training frameworks (DDP, FSDP, DeepSpeed). Background in NLP tasks such as NER, semantic similarity, QA, or dialogue systems. Experience with experiment tracking platforms (MLflow, Weights & Biases). Exposure to agentic AI paradigms (ReAct, chain-of-thought reasoning, tool use). Prior experience in leading AI research labs or high ...

Machine Learning Engineer

Hiring Organisation
DXC
Location
City of London, London, United Kingdom
Employment Type
Permanent
turn ideas into impactful solutions. Optimize and deploy models with tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate ML solutions into production environments. Monitor and improve model performance … LightGBM, CatBoost, TensorFlow, Keras, PyTorch). Familiarity with model deployment and serving tools (ONNX, TensorRT, TensorFlow Serving, TorchServe). Experience with ML lifecycle tools (MLflow, Kubeflow, Azure ML Pipelines). Knowledge of distributed data processing (PySpark) and software engineering principles (Git). A collaborative mindset and excellent problem-solving abilities. ...

MLOps Engineer - Energy AI Platform

Hiring Organisation
Harnham
Location
City of London, London, United Kingdom
This role is critical to ensuring models are robust, reproducible and production-ready. Key responsibilities: • Deploy, manage and monitor ML models in production • Own MLflow, experimentation tracking and reproducibility • Build scalable training and deployment pipelines • Implement CI/CD for ML workflows • Optimise AWS infrastructure for performance and cost • Ensure … monitoring of ML endpoints Key details: • Salary: £80,000–£110,000 + discretionary bonus • Working: Hybrid, 3 days per week in London • Stack: Python, MLflow, AWS (SageMaker), CDK, Docker • Visa: Cannot sponsor Interested? Please apply below. ...