london (city of london), south east england, united kingdom Hybrid / WFH Options
Singular Recruitment
using FastAPI , especially in serverless environments (e.g., Google App Engine) Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale DevOps/MLOps: Exposure to Terraform , Docker , Kubernetes , and MLOps workflows What They Offer A chance to work on real-world data that impacts elite football performance Access to high-value datasets , sports science teams, and cross More ❯
DynamoDB S3 Event-driven architectures Third-party API integration Access control and user permissions Implementing APIs used by single-page applications WebSockets Infrastructure as code (AWS CDK, Terraform, etc.) Docker AWS IoT What we’re looking for Circa 2 years of commercial or equivalent experience in a software development role building cloud-driven SAAS products, with a focus on building More ❯
Django REST). Proven leadership experience in a development environment Solid expertise in microservices, APIs, messaging patterns, and distributed systems. Proficient with cloud platforms (AWS, GCP, Azure) and containerisation (Docker; Kubernetes preferred). Strong engineering fundamentals - testing, clean code, performance tuning, and algorithms. Experience with relational and non-relational databases (PostgreSQL, MongoDB). Comfortable working in agile, fast-moving environments More ❯
teams What We’re Looking For • Active U K*C or eDV clearance • Strong background in Cloud, Platform, or DevOps engineering • Hands-on experience with AWS or Azure, Terraform, Docker, Kubernetes, CI/CD • Understanding of secure systems engineering and compliance in classified environments • Collaborative, delivery-focused mindset with the ability to work in cross-functional teams What’s On More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Opensourced® Agency
teams What We’re Looking For • Active U K*C or eDV clearance • Strong background in Cloud, Platform, or DevOps engineering • Hands-on experience with AWS or Azure, Terraform, Docker, Kubernetes, CI/CD • Understanding of secure systems engineering and compliance in classified environments • Collaborative, delivery-focused mindset with the ability to work in cross-functional teams What’s On More ❯
London, England, United Kingdom Hybrid / WFH Options
Client Server
Python, Java, C++, C#) You're happy to work with the following tech stack (you don't need experience with all): Elixir, Ember, Elm, Phoenix, LiveView, Python, PostgreSQL, AWS, Docker You have an analytical mindset and enjoy problem solving You have experience of working in start-ups/SMEs and have good business acumen Ideally you will have a good More ❯
london, south east england, united kingdom Hybrid / WFH Options
Opensourced® Agency
teams What We’re Looking For • Active U K*C or eDV clearance • Strong background in Cloud, Platform, or DevOps engineering • Hands-on experience with AWS or Azure, Terraform, Docker, Kubernetes, CI/CD • Understanding of secure systems engineering and compliance in classified environments • Collaborative, delivery-focused mindset with the ability to work in cross-functional teams What’s On More ❯
london, south east england, united kingdom Hybrid / WFH Options
Client Server
Python, Java, C++, C#) You're happy to work with the following tech stack (you don't need experience with all): Elixir, Ember, Elm, Phoenix, LiveView, Python, PostgreSQL, AWS, Docker You have an analytical mindset and enjoy problem solving You have experience of working in start-ups/SMEs and have good business acumen Ideally you will have a good More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Opensourced® Agency
teams What We’re Looking For • Active U K*C or eDV clearance • Strong background in Cloud, Platform, or DevOps engineering • Hands-on experience with AWS or Azure, Terraform, Docker, Kubernetes, CI/CD • Understanding of secure systems engineering and compliance in classified environments • Collaborative, delivery-focused mindset with the ability to work in cross-functional teams What’s On More ❯
into our platform, including visualization and analytics interfaces. Required Experience Strong experience in Python, SQL, AWS, and Snowflake. Deep understanding of object-oriented programming. Familiarity with DevOps practices, including Docker and cloud-native deployments. Experience in Linux and Windows environments. Excellent communication skills and a passion for technology innovation. Benefits Competitive salary and comprehensive medical, dental, and retirement benefits. Employee More ❯
into our platform, including visualization and analytics interfaces. Required Experience Strong experience in Python, SQL, AWS, and Snowflake. Deep understanding of object-oriented programming. Familiarity with DevOps practices, including Docker and cloud-native deployments. Experience in Linux and Windows environments. Excellent communication skills and a passion for technology innovation. Benefits Competitive salary and comprehensive medical, dental, and retirement benefits. Employee More ❯
as Scikit-learn, TensorFlow, or PyTorch) Practical experience working with cloud infrastructure (e.g., AWS, Azure, GCP) and a good understanding of architecture, security, and scaling Hands-on experience with Docker and Kubernetes in real-world engineering workflows Solid grasp of ML fundamentals: supervised/unsupervised learning, statistical modelling, evaluation A pragmatic approach to engineering capable of balancing speed, risk, and More ❯
as Scikit-learn, TensorFlow, or PyTorch) Practical experience working with cloud infrastructure (e.g., AWS, Azure, GCP) and a good understanding of architecture, security, and scaling Hands-on experience with Docker and Kubernetes in real-world engineering workflows Solid grasp of ML fundamentals: supervised/unsupervised learning, statistical modelling, evaluation A pragmatic approach to engineering capable of balancing speed, risk, and More ❯
as Scikit-learn, TensorFlow, or PyTorch) Practical experience working with cloud infrastructure (e.g., AWS, Azure, GCP) and a good understanding of architecture, security, and scaling Hands-on experience with Docker and Kubernetes in real-world engineering workflows Solid grasp of ML fundamentals: supervised/unsupervised learning, statistical modelling, evaluation A pragmatic approach to engineering capable of balancing speed, risk, and More ❯
london (city of london), south east england, united kingdom
Xcede
as Scikit-learn, TensorFlow, or PyTorch) Practical experience working with cloud infrastructure (e.g., AWS, Azure, GCP) and a good understanding of architecture, security, and scaling Hands-on experience with Docker and Kubernetes in real-world engineering workflows Solid grasp of ML fundamentals: supervised/unsupervised learning, statistical modelling, evaluation A pragmatic approach to engineering capable of balancing speed, risk, and More ❯
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 ❯
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 ❯
City of London, London, 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 ❯
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 ❯
