MLOps Engineer
3 weeks ago
MLOps Engineer - Forecasting / Cloud Remote - UK (O/IR35), NL, BE, GER3 - 6 Months initial contactJoin an innovative technology company modernising its data science and AI capabilities. You’ll take ownership of how machine learning models are built, deployed, and scaled across distributed cloud environments — helping the business embed modern AI best practices and robust MLOps pipelines.The Role You’ll design, implement, and productionise forecasting models and ML-based algorithms that improve decision-making across the energy domain. This includes defining and setting up the end-to-end ML infrastructure, mentoring engineers, and shaping how the organisation approaches MLOps and AI enablement.What You’ll Do • Build and maintain ML pipelines and CI/CD processes for model training, validation, and deployment.• Lead the implementation of forecasting models and supervised learning approaches within scalable cloud environments.• Work with engineering and product teams to embed ML capabilities into production systems.• Optimise performance using tools such as AWS, Databricks, and containerisation frameworks.• Define best practices for MLOps, monitoring, and version control.• Provide technical guidance and education to teams adopting AI tooling.What You’ll Bring • 5+ years in software/ML engineering, ideally with production deployment experience.• Strong Python background, comfortable across data frameworks like Pandas, NumPy, SciPy, Dask, Polars, or PySpark.• Proven experience setting up ML pipelines, integrating with AWS / Databricks, and applying CI/CD principles.• Solid understanding of time-series forecasting and supervised ML models.• Knowledge of cloud infrastructure, IaC (Terraform / CloudFormation), and containerisation.• Excellent collaboration and communication skills — confident discussing architecture with data scientists, engineers, and business leads.• Experience in energy markets is a significant advantage (especially UK or European retail)
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Mlops Engineer
2 weeks ago
London, United Kingdom ADLIB Full time**MLOps, Tech Scale-up**: - Scale-up AI app development platform.**: - Develop and deploy solutions across Cloud platforms.**: - Support Data and ML infrastructure.** A world leading development platform are looking for an MLOps Engineer to support the business as it scales and help with the mission to democratise technology to anybody. **What you'll be...
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Mlops Engineer
2 weeks ago
London, United Kingdom Harnham Full time**MLOps Engineer** **£550 a day, outside IR35.** **Hybrid, London-based.** **12-Month Contract.** **The Company** This opportunity is with a global organisation who are looking to revamp it's Data Engineering remit, in particular their Machine Learning offering. As such, there is a critical need to bring in an experienced MLOps Engineer to provide...
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MLOps Engineer
3 weeks ago
london, United Kingdom Harrington Starr Full timeJob Title: MLOps Engineer Location: On-site, 5 days per week Total Compensation: Up to £200,000 We are seeking an experienced MLOps Engineer to join a forward-thinking trading organisation. This is an exciting opportunity to design and implement the infrastructure that powers advanced machine learning workflows in a production trading environment. Key...
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Mlops Engineer
1 week ago
London, United Kingdom Goodman Masson Full time**MLOps Engineer - Permanent Opportunity** Goodman Masson are currently working with an esteemed healthcare organisation in London seeking a MLOps Engineer to aid in the analysis of the organisation's data using predictive and analytical tools - Experience in ML model development - Solid understanding of machine learning techniques and algorithms...
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MLOps Engineer
4 weeks ago
City of London, Greater London, United Kingdom Harrington Starr Full timeJob Title: MLOps Engineer Location: On-site, 5 days per week Total Compensation: Up to £200,000 We are seeking an experienced MLOps Engineer to join a forward-thinking trading organisation. This is an exciting opportunity to design and implement the infrastructure that powers advanced machine learning workflows in a production trading environment. Key...
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MLOps Engineer
4 weeks ago
London, United Kingdom Harrington Starr Full timeJob Title: MLOps EngineerLocation: On-site, 5 days per week Total Compensation: Up to £200,000We are seeking an experienced MLOps Engineer to join a forward-thinking trading organisation. This is an exciting opportunity to design and implement the infrastructure that powers advanced machine learning workflows in a production trading environment.Key...
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MLOps Engineer
6 days ago
London, United Kingdom Harrington Starr Full timeJob Title: MLOps EngineerLocation: On-site, 5 days per week Total Compensation: Up to £200,000We are seeking an experienced MLOps Engineer to join a forward-thinking trading organisation. This is an exciting opportunity to design and implement the infrastructure that powers advanced machine learning workflows in a production trading environment.Key...
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MLOps Engineer
3 weeks ago
london, United Kingdom Revoco Full timeJob Title: MLOps Engineer Location: Bristol – 1-day onsite p/m Start Date: ASAP Salary: £75,000 - £90,000 Note: Candidates must be willing and eligible to undergo SC Clearance. Join a European leader in AI-driven technology, delivering innovative surveillance solutions that enhance safety and save lives. They provide cutting-edge services combining...
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MLOps Engineer
2 weeks ago
London, Greater London, United Kingdom FitNext Co. Full time £45,000 - £90,000 per yearOn-Site MLOps Engineer (Kubernetes, Cloud, ML Workflows)London, UK – Soho (next to Tottenham Court Road) | Contractor | Start: ASAPAbout the RoleStrong MLOps engineer with exposure in high-volume systems to help implement best practices and scale MLOps practice for a global brand. Must have strong on-prem and Kubernetes experience. This role includes an...
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MLOps Engineer
1 week ago
London Area, United Kingdom Harrington Starr Full timeJob Title: MLOps EngineerLocation: On-site, 5 days per week Total Compensation: Up to £200,000We are seeking an experienced MLOps Engineer to join a forward-thinking trading organisation. This is an exciting opportunity to design and implement the infrastructure that powers advanced machine learning workflows in a production trading environment.Key...
