Extensive experience with ML & DL platforms, frameworks, and libraries 📚 Extensive experience with end-to-end model design and deployment within cloud environments ☁️ A systems thinking approach 🌐, with passion for MLOps best practises 🌀 An engineer that can think in O(n) as much as plan the orchestration of their product. Solid understanding of data structures, data modelling, and software architecture, especially More ❯
Central London, London, United Kingdom Hybrid/Remote Options
Singular Recruitment
findings to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain: Significant plus if experienced with football datasets (event, tracking, etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming (e.g., PyMC More ❯
other geospatial tooling experience. Experience with AWS and containerised environments (Docker). Familiarity with backend frameworks (FastAPI, Flask, or Django). Experience working with data pipelines, ML workflows, or MLOps-style environments. Ideally some experience with TypeScript for visualisation or frontend-adjacent tooling. Comfort navigating ambiguity, proposing improvements, and balancing short-term execution with long-term architecture. Strong communication skills More ❯
other geospatial tooling experience. Experience with AWS and containerised environments (Docker). Familiarity with backend frameworks (FastAPI, Flask, or Django). Experience working with data pipelines, ML workflows, or MLOps-style environments. Ideally some experience with TypeScript for visualisation or frontend-adjacent tooling. Comfort navigating ambiguity, proposing improvements, and balancing short-term execution with long-term architecture. Strong communication skills More ❯
and speaking with stakeholders where required • Someone who enjoys solving real problems end-to-end: from understanding the domain → designing the approach → shipping the implementation • Experience of MLFlow/MLOps highly desirable Important notes (just to be upfront): • They cannot sponsor visas, so you’ll need existing right to work in the UK • No relocation support – you’ll need to More ❯
and speaking with stakeholders where required • Someone who enjoys solving real problems end-to-end: from understanding the domain → designing the approach → shipping the implementation • Experience of MLFlow/MLOps highly desirable Important notes (just to be upfront): • They cannot sponsor visas, so you’ll need existing right to work in the UK • No relocation support – you’ll need to More ❯
models, dimension reduction, clustering, classification, regression techniques, etc.) Familiarity with PyTorch, PyTorch Lightning, or similar frameworks Strong coding abilities in Python Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms. Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs Publication track record in machine learning conferences and More ❯
e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial. Experience configuring and maintaining cloud infrastructure including network infrastructure, compute, access control policies, load balancers, Public Key Infrastructure (PKI), and DNS. More ❯
e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial. Experience configuring and maintaining cloud infrastructure including network infrastructure, compute, access control policies, load balancers, Public Key Infrastructure (PKI), and DNS. More ❯
AI Solutions, B2B, B2C, Azure, AI Foundry, Open-AI, Microsoft Copilot Studio, Machine Learning, Python, TensorFlow, PyTorch, scikit-learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type: Hybrid/Bedford Daily … with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience with Large Language Models, prompt engineering, and RAG implementations. Strong skills in data analytics, API development, and MLOps practices including CI/CD for ML. Excellent technical documentation and communication skills. Desirable knowledge in Docker, Kubernetes, and understanding of financial services or regulatory environments. In the first instance More ❯
AAI) deliverables across product innovation, maintenance, research, and foundational efforts, considering the roadmaps and needs of multiple product teams, the Applied AI Center of Excellence (COE), and DataOps/MLOps requirements and efforts Using your existing knowledge of NLP, topic modelling, recommendation, classification and generative AI, you will identify opportunities to improve our existing AI models Leveraging your extensive experience … in model deployment and maintenance, and collaborating with the MLOps team to identify opportunities for improvements in deployment practices, standardize processes, and minimize the manual effort associated with model maintenance Promote a culture of collaboration, accountability, technical excellence, innovation, and high performance Attract, engage, and retain Applied AI Scientists, supporting their growth Ensure teams have high technical proficiency and aim More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Areti Group | B Corp™
Senior Data Scientists/Analysts – SC/DV Cleared – (Military/Veteran-Friendly) — Multiple Openings 🌳 Location: London (Remote & Hybrid options) 🌳 Employment: Permanent 🌳 Clearance: Current SC or DV required 🌳 Make sense of mission-critical data that actually drives decisions. 🌳 Areti Group More ❯
Senior Data Scientists/Analysts – SC/DV Cleared – (Military/Veteran-Friendly) — Multiple Openings 🌳 Location: London (Remote & Hybrid options) 🌳 Employment: Permanent 🌳 Clearance: Current SC or DV required 🌳 Make sense of mission-critical data that actually drives decisions. 🌳 Areti Group More ❯
Senior MLOps Engineer | Established Bank | £70,000-£ 85,000 base + Bonus | Hybrid We are looking for an experienced MLOps Engineer in London to join an established Banking client who have multiple offices around the UK. They have allocated a ton of investment to propel their AI & Cloud transformation and this role will be the first of its kind with … environments Automate pipelines and services (ETL, storage, databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity with finance or data viz tools (Power BI/ More ❯
Senior MLOps Engineer | Established Bank in London | £90,000-£ 95,000 base + Bonus | Hybrid We are looking for an experienced MLOps Engineer in London to join an established Banking client who have multiple offices around the UK. They have allocated a ton of investment to propel their AI & Cloud transformation and this role will be the first of its … environments Automate pipelines and services (ETL, storage, databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity with finance or data viz tools (Power BI/ More ❯
Senior MLOps Engineer | Established Bank in London | £90,000-£ 95,000 base + Bonus | Hybrid We are looking for an experienced MLOps Engineer in London to join an established Banking client who have multiple offices around the UK. They have allocated a ton of investment to propel their AI & Cloud transformation and this role will be the first of its … environments Automate pipelines and services (ETL, storage, databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity with finance or data viz tools (Power BI/ More ❯
Bring Experience delivering and scaling enterprise AI/ML systems Hands-on expertise with cloud AI platforms (AWS, Azure, etc.) Strong Python engineering skills + FastAPI, CI/CD, MLOps, LLM tooling Leadership across cross-functional engineering teams If you are Interested, apply directly or reach out to jonah.brookes@oliverbernard.com Principal AI Engineer | Up to £130K | Hybrid in London More ❯
Bring Experience delivering and scaling enterprise AI/ML systems Hands-on expertise with cloud AI platforms (AWS, Azure, etc.) Strong Python engineering skills + FastAPI, CI/CD, MLOps, LLM tooling Leadership across cross-functional engineering teams If you are Interested, apply directly or reach out to jonah.brookes@oliverbernard.com Principal AI Engineer | Up to £130K | Hybrid in London More ❯
Jupyter notebooks A practical, problem-solving mindset with a focus on clean, reliable delivery Nice to have: Experience with R or other statistical tools Exposure to model deployment/MLOps environments Familiarity with high-volume digital products or gaming/sports analytics More ❯
Jupyter notebooks A practical, problem-solving mindset with a focus on clean, reliable delivery Nice to have: Experience with R or other statistical tools Exposure to model deployment/MLOps environments Familiarity with high-volume digital products or gaming/sports analytics More ❯
Bring Experience delivering and scaling enterprise AI/ML systems Hands-on expertise with cloud AI platforms (AWS, Azure, etc.) Strong Python engineering skills + FastAPI, CI/CD, MLOps, LLM tooling Leadership across cross-functional engineering teams If you are Interested, apply directly or reach out to jonah.brookes@oliverbernard.com Lead AI Engineer | £90K-£110K + Bonus | Hybrid in London More ❯
Bring Experience delivering and scaling enterprise AI/ML systems Hands-on expertise with cloud AI platforms (AWS, Azure, etc.) Strong Python engineering skills + FastAPI, CI/CD, MLOps, LLM tooling Leadership across cross-functional engineering teams If you are Interested, apply directly or reach out to jonah.brookes@oliverbernard.com Lead AI Engineer | £90K-£110K + Bonus | Hybrid in London More ❯
learning, deep learning or AI engineering • Advanced proficiency in Python and ML frameworks like PyTorch • Experience deploying and maintaining scalable production-grade AI systems • Strong understanding of data pipelines, MLOps and cloud platforms (AWS) • Experience working in small or mid-sized tech/software development environments (rather than in corporate environments) would be advantageous The role requires demonstrable ability to More ❯
learning, deep learning or AI engineering • Advanced proficiency in Python and ML frameworks like PyTorch • Experience deploying and maintaining scalable production-grade AI systems • Strong understanding of data pipelines, MLOps and cloud platforms (AWS) • Experience working in small or mid-sized tech/software development environments (rather than in corporate environments) would be advantageous The role requires demonstrable ability to More ❯
to drive AI/ML innovation while ensuring models are scalable and impactful. What You’ll Be Doing: Developing predictive models to forecast property trends and customer behavior. Leveraging MLOps best practices to ensure efficient model deployment and monitoring. Working end-to-end across the data pipeline – from data extraction to model evaluation. Collaborating with cross-functional teams to turn More ❯
