14 of 14 Distributed Systems Jobs in Berkshire

San Francisco (Onsite/Hybrid) Employment: Full-time About the Company We are partnered with a pioneering biotech building the world’s first brain foundation models — large-scale AI systems designed to deeply understand, protect, and enhance the human brain. By generating our own data, developing novel machine learning approaches, and working closely with world-leading neuroscientists, the company … to accelerate discoveries that transform how neurological diseases are treated and prevented. This is a rare opportunity to join at an early stage, with direct influence on the technical systems that will underpin scientific and clinical breakthroughs. The work is ambitious, interdisciplinary, and sits at the cutting edge of AI, biology, and data engineering. The Role We are seeking … a Senior Data Engineer to lead the design and scaling of the company’s core data infrastructure. You will be responsible for building robust, production-grade systems that handle multi-omic, neuroscience, and clinical datasets at scale. Your work will provide the backbone for training next-generation AI models, enabling researchers to extract real-world insights from raw biological More ❯

understanding of Python Good understanding on AWS services (EC2, ECS, EKS, API Gateway and Serverless technologies) Integration Engine tools: Apache Camel and Active MQ for messaging, web services and distributed systems Public Sector domain experience preferable More ❯

Are you a backend-focused Python developer ready to help shape real-world tech? Do you enjoy building robust systems that directly interact with hardware? Want to join a small, fast-moving team where your ideas will have immediate impact? Our client is seeking a talented and driven Software Engineer (Python) to join a tight-knit group of engineers … It’s your chance to: Own your builds – take features from concept to deployment, working end-to-end across codebases. Bridge the digital and physical – help write the backend systems that interact with real-world hardware. Shape how things are done – join early enough to influence architecture, tools, and best practices. Build for growth – contribute to a system that … writing Python for production systems. Comfortable across the stack—even if your strength is in backend, you're happy dabbling in cloud, APIs, or integration. Naturally curious about how systems talk to each other—especially software-to-hardware. Experienced in building robust, testable codebases and can explain trade-offs in architecture. Familiar with cloud services (e.g., AWS), Docker, or More ❯

Are you a backend-focused Python developer ready to help shape real-world tech? Do you enjoy building robust systems that directly interact with hardware? Want to join a small, fast-moving team where your ideas will have immediate impact? Our client is seeking a talented and driven Software Engineer (Python) to join a tight-knit group of engineers … It’s your chance to: Own your builds – take features from concept to deployment, working end-to-end across codebases. Bridge the digital and physical – help write the backend systems that interact with real-world hardware. Shape how things are done – join early enough to influence architecture, tools, and best practices. Build for growth – contribute to a system that … writing Python for production systems. Comfortable across the stack—even if your strength is in backend, you're happy dabbling in cloud, APIs, or integration. Naturally curious about how systems talk to each other—especially software-to-hardware. Experienced in building robust, testable codebases and can explain trade-offs in architecture. Familiar with cloud services (e.g., AWS), Docker, or More ❯

discussions. Proven problem-solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some exposure to .NET-based systems or application integration. Follow our company page, OTA Recruitment More ❯

and deployment. This role involves working across the full ML lifecycle - from data processing and training pipelines to efficient inference in production environments. What You'll Do: Develop scalable, distributed training and evaluation pipelines Optimize model performance and system efficiency across different compute environments Collaborate with ML teams to integrate models into production systems Build tooling for deployment … improvement of AI models What We're Looking For: Strong programming skills (Python, C++, or similar) Experience with ML frameworks (e.g. PyTorch, TensorFlow, JAX) Familiarity with cloud infrastructure and distributed systems Solid understanding of performance optimization and system design More ❯

advancements. Represent the company in engagements with Microsoft teams and events. What You'll Bring Passion for engineering excellence and mentoring others. Strong analytical and communication skills in a distributed team environment. Customer-first mindset with a data-driven approach to problem-solving. Experience with large-scale distributed systems and incident response. Familiarity with LLM technologies (RAG More ❯

concepts including LLMs, RAG, and prompt engineering Familiarity with Azure services and cloud ecosystems Excellent communication and presentation skills A passion for mentoring and developing engineering talent Experience with distributed systems and incident response Benefits: Flexible remote working Competitive salary 25 days holiday Private health insurance (after 1 year) Enhanced parental leave And more Please Note: This is More ❯

concepts including LLMs, RAG, and prompt engineering Familiarity with Azure services and cloud ecosystems Excellent communication and presentation skills A passion for mentoring and developing engineering talent Experience with distributed systems and incident response Benefits: Flexible remote working Competitive salary 25 days holiday Private health insurance (after 1 year) Enhanced parental leave And more Please Note: This is More ❯

AI models into business processes. Familiarity with AI frameworks like ML.NET and/or Semantic Kernel is a big bonus. Solid understanding of software engineering principles, clean code, and distributed systems. Comfortable working remotely, independently, and asynchronously in a contract role. Strong communication skills to collaborate with team members and stakeholders. The contact AI Software developer must have previous More ❯

AI models into business processes. Familiarity with AI frameworks like ML.NET and/or Semantic Kernel is a big bonus. Solid understanding of software engineering principles, clean code, and distributed systems. Comfortable working remotely, independently, and asynchronously in a contract role. Strong communication skills to collaborate with team members and stakeholders. The contact AI Software developer must have previous More ❯

AI models into business processes. Familiarity with AI frameworks like ML.NET and/or Semantic Kernel is a big bonus. Solid understanding of software engineering principles, clean code, and distributed systems. Comfortable working remotely, independently, and asynchronously in a contract role. Strong communication skills to collaborate with team members and stakeholders. The contact AI Software developer must have previous More ❯

Mentor & support teams on DynamoDB What you bring: ✅ Extensive hands-on DynamoDB ✅ NoSQL background (Mongo, Cassandra, Couchbase etc.) ✅ AWS SDK/CLI + services (Lambda, API Gateway, CloudWatch) ✅ Strong distributed systems knowledge ✅ Nice to Have AWS Certified Database Specialty DynamoDB Streams + Lambda integration DynamoDB Global Tables (multi-region) DynamoDB Accelerator (DAX) Security best practices (encryption at rest More ❯

Developer to lead the buildout of its core trading infrastructure. This is a hands-on role at the intersection of technology, research, and trading, offering the opportunity to shape systems from the ground up and work directly with experienced quant researchers and a senior portfolio manager. Key Responsibilities: Architect and scale trading systems for data ingestion, signal generation … backtesting, execution, and risk management. Collaborate with researchers to translate strategy ideas into production-ready code. Lead and mentor a small team of developers and quant engineers. Optimise execution systems and ensure robust data pipelines. Oversee deployment, monitoring, and system reliability. Requirements: 3+ years building high-performance trading systems, ideally in systematic equities. Strong coding skills in C++ … or C#, with Python for research integration. Deep understanding of algorithms, databases, and distributed systems. Experience with market data handling, exchange connectivity, and real-time systems. Excellent communication and problem-solving skills. This is a unique opportunity to take ownership of the tech stack, influence strategic direction, and contribute to a high-performance team in a fast-paced, collaborative More ❯