and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset — able to bridge deep tech with business outcomes. Salary - £110,000 - 130,000 Working policy - 3 days onsite weekly More ❯
and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset — able to bridge deep tech with business outcomes. Salary - £110,000 - 130,000 Working policy - 3 days onsite weekly More ❯
AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots, agentic workflows, and more. You’re always More ❯
AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots, agentic workflows, and more. You’re always More ❯
and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset — able to bridge deep tech with business outcomes. Salary - £90,000 - 110,000 + bonus Working policy - 3 days More ❯
and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset — able to bridge deep tech with business outcomes. Salary - £90,000 - 110,000 + bonus Working policy - 3 days More ❯
art computer vision models (e.g., YOLO, Vision Transformers, Eva) Strong Python skills and familiarity with libraries such as NumPy, pandas, scikit-learn, TensorFlow, and PyTorch Experience with ML workflows, MLOps, and best practices in model validation and evaluation Solid understanding of evaluation metrics such as Accuracy, Recall, F1, IoU Highly Desirable Experience in aviation, mobility, edge devices, or robotics applications More ❯
art computer vision models (e.g., YOLO, Vision Transformers, Eva) Strong Python skills and familiarity with libraries such as NumPy, pandas, scikit-learn, TensorFlow, and PyTorch Experience with ML workflows, MLOps, and best practices in model validation and evaluation Solid understanding of evaluation metrics such as Accuracy, Recall, F1, IoU Highly Desirable Experience in aviation, mobility, edge devices, or robotics applications More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Trust In SODA
can translate technical topics into business outcomes Experience supporting B2B SaaS or AI/ML platform customers 💡 Bonus Points For: Experience with generative models (e.g., diffusion, transformers) Knowledge of MLOps or model serving Fluency in French, German, Italian, or Dutch 🌟 Why Apply? Join one of the most innovative AI teams in Europe Shape the future of ethical Generative AI adoption More ❯
can translate technical topics into business outcomes Experience supporting B2B SaaS or AI/ML platform customers 💡 Bonus Points For: Experience with generative models (e.g., diffusion, transformers) Knowledge of MLOps or model serving Fluency in French, German, Italian, or Dutch 🌟 Why Apply? Join one of the most innovative AI teams in Europe Shape the future of ethical Generative AI adoption More ❯
facing engineering roles. Full Stack development expertise (Python, JavaScript). Hands-on cloud experience (Azure or GCP). Integration with Generative AI services and AI/ML patterns (RAG, MLOps). Strong database management skills. Nice-to-have: Cloud certifications (Azure/GCP). Experience with vector databases (Pinecone, Weaviate). Retail or CPG industry exposure. Why Accenture? Competitive salary More ❯
facing engineering roles. Full Stack development expertise (Python, JavaScript). Hands-on cloud experience (Azure or GCP). Integration with Generative AI services and AI/ML patterns (RAG, MLOps). Strong database management skills. Nice-to-have: Cloud certifications (Azure/GCP). Experience with vector databases (Pinecone, Weaviate). Retail or CPG industry exposure. Why Accenture? Competitive salary More ❯
a related field Experience with multi-modal models that combine vision and language Strong grasp of data-centric AI practices - annotation tooling, prompt evaluation, and dataset curation Familiarity with MLOps tools (e.g. Weights & Biases, SageMaker, MLflow) Experience working in regulated sectors like insurance, banking, or property What You'll Be Doing This is a hands-on, high-impact role - you More ❯
other engineers to build fast, and you'll use Python and Kubernetes to deploy systems in production. What you'll do Work with a high performance team of LLM, MLOps, backend and front end engineers Tackle the biggest problems facing the company, giving a wide experience across the business, with the freedom to define novel approaches Work to help LLMs More ❯
About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated More ❯
seek an adept expert to contribute significantly to our R&D team, bridging machine learning engineering with applied data science. You'll improve and manage our Machine Learning Operations (MLOps) on Azure, and participate in creating, assessing, and advancing various machine learning models and AI systems. Collaborate extensively with scientific and operational teams to guarantee the robustness, scalability, and reliability … informed decision-making and boost innovation. Help our CDMO's mission by turning research insights into practical solutions efficiently. Key responsibilities: Compose, construct, and uphold resilient machine learning operations (MLOps) pipelines that facilitate the complete lifecycle of AI models—from creation to implementation and supervision. Guarantee the successful deployment of machine learning and large language models (LLMs) in practical operational … interpret, share, and act on. Key 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 (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with common ML/AI libraries (scikit-learn, tensorflow, Keras etc.). Experience implementing machine More ❯
Senior MLOps Engineer – AI Consultancy | Manchester | £60k–£70k + Equity + Benefits We’re hiring a Senior MLOps Engineer to join a fast-growing AI consultancy based in Manchester City Centre (3 days on-site). If you're passionate about productionising machine learning and want to work on real-world AI challenges, this could be the role for you. … TensorFlow, PyTorch, Keras, SKLearn) Proficiency with Git, Unix/Linux, Docker Cloud experience (AWS, Azure, or similar) Excellent communication skills UK citizen eligible for SC clearance Nice to have: MLOps experience Open source contributions Curiosity for learning new tech Perks: £60k–£70k salary EMI share scheme Personal L&D budget 25 days holiday (rising to 30) Pension More ❯
TOGAF, Zachman) and cloud-native architecture (preferably Microsoft Azure). Understanding LLMs and Python-based agentic frameworks like LangChain or AutoGen. Strong understanding of data governance, security protocols, and MLOps practices in a cloud environment. Proven track record of designing and deploying scalable AI solutions that deliver measurable business value. Excellent communication, leadership, and analytical skills, with the ability to More ❯
TOGAF, Zachman) and cloud-native architecture (preferably Microsoft Azure). Understanding LLMs and Python-based agentic frameworks like LangChain or AutoGen. Strong understanding of data governance, security protocols, and MLOps practices in a cloud environment. Proven track record of designing and deploying scalable AI solutions that deliver measurable business value. Excellent communication, leadership, and analytical skills, with the ability to More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Arcus Search
benefits Industry: Technology Scale Up, circa 300 people The role: You will lead the design & development of robust Machine Learning models to solve complex problems. You will work alongside MLOps to help build the ML infrastructure for these models to be deployed, and then maintain & scale these efficiently. You will continuously collaborate across internal stakeholders to ensure the models being More ❯
benefits Industry: Technology Scale Up, circa 300 people The role: You will lead the design & development of robust Machine Learning models to solve complex problems. You will work alongside MLOps to help build the ML infrastructure for these models to be deployed, and then maintain & scale these efficiently. You will continuously collaborate across internal stakeholders to ensure the models being More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Omnis Partners
defined library for initial deployment (e.g., finance or operational materials) Basic access controls, validation and testing Skills & Experience Strong proficiency in Python with experience in machine learning deployment and MLOps tooling Understanding of SharePoint. Strong Azure, or similar cloud-based storage and directory structures Experience building document or knowledge management systems Ability to work autonomously, taking ownership from design through More ❯
defined library for initial deployment (e.g., finance or operational materials) Basic access controls, validation and testing Skills & Experience Strong proficiency in Python with experience in machine learning deployment and MLOps tooling Understanding of SharePoint. Strong Azure, or similar cloud-based storage and directory structures Experience building document or knowledge management systems Ability to work autonomously, taking ownership from design through More ❯
for ML developments within a scaleup environment. What you’ll do: Architect and build scalable ML systems in GCP and AWS Drive end-to-end delivery across experimentation, modelling, MLOps and deployment Set technical direction, mentor teams, and champion best practices Work closely with product and data teams to turn ideas into real-world impact Collaborate with 3rd party vendors More ❯
