Python using PyTorch/TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving More ❯
london (city of london), south east england, united kingdom
Zettafleet
Python using PyTorch/TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving More ❯
london, south east england, united kingdom Hybrid / WFH Options
Undisclosed
tools/ways of working (e.g. git/GitHub, DevOps tools for deployment) – should be able to show practice of commit early and deploy often Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Undisclosed
tools/ways of working (e.g. git/GitHub, DevOps tools for deployment) – should be able to show practice of commit early and deploy often Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches More ❯
customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving More ❯
customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving More ❯
london (city of london), south east england, united kingdom
Zettafleet
customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving More ❯
etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data engineering , schema design, ETL, and optimisation. Proficiency with cloud (AWS preferred) and containerised deployments (Docker, ECS). Knowledge of secure coding practices and managing sensitive data. Excellent communication, problem-solving, and leadership skills. Nice to have Experience with rerankers (e.g., cross-encoders), hybrid retrieval (SQL More ❯
Proven success in leading cloud migration projects using tools such as AWS Server Migration Service or AWS Database Migration Service. Hands-on experience with DevOps tools (e.g. Git, Jenkins, Docker, Kubernetes). Excellent communication, problem-solving, and time management skills, with the ability to manage multiple priorities in a fast-paced environment. More ❯
Proven success in leading cloud migration projects using tools such as AWS Server Migration Service or AWS Database Migration Service. Hands-on experience with DevOps tools (e.g. Git, Jenkins, Docker, Kubernetes). Excellent communication, problem-solving, and time management skills, with the ability to manage multiple priorities in a fast-paced environment. More ❯
contexts when designing and delivering functionality Tech Stack The engineering team leverages a modern and scalable technology stack: Backend: Python (FastAPI), Node.js Frontend: React, TypeScript Database: PostgreSQL Infrastructure: AWS, Docker, Terraform CI/CD: GitHub Actions, Pulumi Monitoring & Observability: DataDog, Sentry Data & Analytics: dbt, Metabase Internal Tools: Retool Collaboration: Linear, Slack, Notion Candidates are not expected to have experience with More ❯
Proven success in leading cloud migration projects using tools such as AWS Server Migration Service or AWS Database Migration Service. Hands-on experience with DevOps tools (e.g. Git, Jenkins, Docker, Kubernetes). Excellent communication, problem-solving, and time management skills, with the ability to manage multiple priorities in a fast-paced environment. More ❯
london (city of london), south east england, united kingdom
Anson McCade
Proven success in leading cloud migration projects using tools such as AWS Server Migration Service or AWS Database Migration Service. Hands-on experience with DevOps tools (e.g. Git, Jenkins, Docker, Kubernetes). Excellent communication, problem-solving, and time management skills, with the ability to manage multiple priorities in a fast-paced environment. More ❯
DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs. Strong understanding of data engineering, schema design, ETL, and optimisation. Proficiency with cloud (AWS preferred) and containerised deployments (Docker, ECS). Knowledge of secure coding practices and managing sensitive data. Excellent communication, problem-solving, and leadership skills. Nice to have Experience with rerankers (e.g., cross-encoders), hybrid retrieval (SQL More ❯
various levels of the test pyramid. Experience working with cross-functional teams of engineers. Experience collaborating with Product Managers and Product Designers to ensure delightful customer experiences. Expertise in Docker with deployment on Kubernetes, preferred An understanding of the AI value chain Experience with startup-centric fast-paced work, sometimes introducing creative approaches to difficult problems. What we can offer More ❯
London, England, United Kingdom Hybrid / WFH Options
HTA-Hive
problems as opportunities. Nice-to-Have Experience: Experience designing or working with Human-in-the-Loop systems for data annotation or model validation. Familiarity with MLOps tools and practices (Docker, Kubernetes, MLflow, etc.). Previous experience in a startup or high-growth environment. A background in healthcare, life sciences, or a related domain, but this is not required. What We More ❯
london, south east england, united kingdom Hybrid / WFH Options
HTA-Hive
problems as opportunities. Nice-to-Have Experience: Experience designing or working with Human-in-the-Loop systems for data annotation or model validation. Familiarity with MLOps tools and practices (Docker, Kubernetes, MLflow, etc.). Previous experience in a startup or high-growth environment. A background in healthcare, life sciences, or a related domain, but this is not required. What We More ❯
london, south east england, united kingdom Hybrid / WFH Options
Xelix
and the Django Rest Framework Degree in Computer Science (or similar), at 2:1 or above Amazon Web Services SQL/PostgreSQL Build pipeline and CI with GitHub, Jenkins, Docker, Terraform What We Offer In Return Competitive salary of £60,000 - £80,000 depending on experience 27 days of annual leave (including 3 days Christmas closing) which increases up to More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Hargreaves Lansdown
and always look to evolve. Your Technical Toolkit Java (21) and Spring Boot AWS and cloud-native architecture RDBMS/NoSQL databases Event-driven and microservices architectures Containers (e.g., Docker, Kubernetes) CI/CD pipelines and DevOps principles TDD/BDD testing frameworks Salary & Package We offer a competitive salary of up to £70,000 , depending on experience, alongside a More ❯
and independently find solutions to problems. Desirable In-depth knowledge of at least one high-level language used in data science, such as Python. Familiarity with containerisation technologies e.g., Docker, Kubernetes, etc. Familiarity with server management. Extensive experience with GitHub and version control in software engineering Up to date with new approaches in software development. Demonstrable experience with SQL e.g. More ❯
and an understanding of Python testing libraries such as Pytest. Cloud, CI/CD & MLOps Knowledge Experience taking models from experiments through to production deployments, with tools such as Docker, Kubernetes & serverless alternatives such as AWS Lambda. Familiarity with MLOps tools such as MLFlow, Kubeflow or Sagemaker. A strong knowledge of cloud platforms (ideally AWS) and their respective services for More ❯
