PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. The Role Your role, first and foremost, is to help our customers solve their most important problems. As a Software Engineer, this takes the form of building and deploying applications that utilize the power of our physics AI models to enable our customers to build better, faster, and cheaper. As a member of the delivery team, you'll work directly with customers, data scientists, and machine learning engineers to develop applications that change the way advanced engineering is done. We're looking for someone who can grasp advanced engineering concepts across multiple industries, fundamentally understand the problems that engineers face, and build tools to solve these problems. Who We're Looking For Technical ability: We work across a wide range of engineering disciplines, all of which are high complexity. Someone with a track record of solving hard problems is a must, a background in Mechanical Engineering or similar is a plus. This role deals with breadth across the full stack, having a solid foundation in software engineering, API design, and deploying applications to production is desired. Proactivity & high ownership: You'll be responsible for driving impact for our customers, whatever that might look like. We're looking for someone who is a go-getter and is naturally inclined to find problems and solve them end-to-end. You own the responsibility to get things done and will pick up the skills and experience needed to solve novel problems quickly. Solution-focused: We build tools that customers need, not just the ones they want. So you must be someone who is customer-obsessed and can work alongside our customers to understand their problems and build applications that change the way they do engineering. What a day might look like Collaborate with cross-functional teams: Collaborate with data scientists and machine learning engineers to ship physics models to our customers in a way that delivers maximum value. Work with designers and front-end engineers to shape the UX in line with customer needs. E2E application design: Work with customers to shape tools that are impactful for their teams. Construct low-lift prototypes of your ideas and ship them directly to the customer. Rapidly iterate on this experience through constant user feedback. Backend development: Build and maintain RESTful APIs (FastAPI) and microservices in Python to serve Large Physics Models to the end users. Working with other software engineers in our platform team, deploy these applications to the cloud so they become key tools in our customer's day-to-day workflow. We use a mixture of Helm, Kubernetes, Terraform, and AWS/Azure for provisioning and running our infrastructure. PhysicsX development: Distill down complex solutions built across multiple use cases into fundamental components. Pitch and execute the development of features on top of our core platform offering. Drive the direction of PhysicsX to be better positioned to solve ever harder problems with our customer. What we offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. Apply for this job indicates a required field
Jan 01, 2026
Full time
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. The Role Your role, first and foremost, is to help our customers solve their most important problems. As a Software Engineer, this takes the form of building and deploying applications that utilize the power of our physics AI models to enable our customers to build better, faster, and cheaper. As a member of the delivery team, you'll work directly with customers, data scientists, and machine learning engineers to develop applications that change the way advanced engineering is done. We're looking for someone who can grasp advanced engineering concepts across multiple industries, fundamentally understand the problems that engineers face, and build tools to solve these problems. Who We're Looking For Technical ability: We work across a wide range of engineering disciplines, all of which are high complexity. Someone with a track record of solving hard problems is a must, a background in Mechanical Engineering or similar is a plus. This role deals with breadth across the full stack, having a solid foundation in software engineering, API design, and deploying applications to production is desired. Proactivity & high ownership: You'll be responsible for driving impact for our customers, whatever that might look like. We're looking for someone who is a go-getter and is naturally inclined to find problems and solve them end-to-end. You own the responsibility to get things done and will pick up the skills and experience needed to solve novel problems quickly. Solution-focused: We build tools that customers need, not just the ones they want. So you must be someone who is customer-obsessed and can work alongside our customers to understand their problems and build applications that change the way they do engineering. What a day might look like Collaborate with cross-functional teams: Collaborate with data scientists and machine learning engineers to ship physics models to our customers in a way that delivers maximum value. Work with designers and front-end engineers to shape the UX in line with customer needs. E2E application design: Work with customers to shape tools that are impactful for their teams. Construct low-lift prototypes of your ideas and ship them directly to the customer. Rapidly iterate on this experience through constant user feedback. Backend development: Build and maintain RESTful APIs (FastAPI) and microservices in Python to serve Large Physics Models to the end users. Working with other software engineers in our platform team, deploy these applications to the cloud so they become key tools in our customer's day-to-day workflow. We use a mixture of Helm, Kubernetes, Terraform, and AWS/Azure for provisioning and running our infrastructure. PhysicsX development: Distill down complex solutions built across multiple use cases into fundamental components. Pitch and execute the development of features on top of our core platform offering. Drive the direction of PhysicsX to be better positioned to solve ever harder problems with our customer. What we offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. Apply for this job indicates a required field
Contact If you are unable to apply via the portal, please email your CV and Cover Letter to us directly to Overview We're looking for a Senior AI Engineer to build and scale cutting edge AI capabilities that drive smarter decisions and greater efficiency across Chambers and Partners. In this brand new role, you'll design and implement intelligent systems that enhance how we use data, streamline operations, and power innovation across our digital platforms. You'll play a key role in establishing the technical foundations for AI at Chambers, developing scalable solutions that push our technology forward and transform how we deliver value to our users. Main Duties and Responsibilities Build robust ingestion pipelines for PDFs/Word/Excel/Audio/JSON and semi structured sources. Design RAG systems: chunking strategies, document schemas, metadata, hybrid/dense retrieval, re ranking, and grounding. Manage vector/keyword indexes (e.g., Azure AI Search, pgvector, Pinecone/Weaviate). Develop and deploy advanced NLP, information retrieval, and recommendation systems that enhance Chambers and Partners' research and product offerings, including document understanding, automatic summarisation, topic modelling, semantic search, entity recognition, and relationship extraction. Design and implement intelligent tagging and metadata enrichment frameworks to categorize and organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build and maintain traditional ML and LLM models and pipelines. Build LLM apps using LangGraph/LangChain: tools/function calling, structured outputs (JSON Schema), agents, and multi step reasoning. Implement ASR/TTS and multimodal where relevant (e.g., Whisper). Choose customization paths pragmatically: prompt engineering, system prompts, tools, adapters/LoRA, and selective fine tuning only when needed. Fine tune and optimise ML models and LLMs to enhance performance, efficiency, and relevance for Chambers' research, analytics, and product applications. Apply best practices for model adaptation, evaluation, and deployment, ensuring solutions are scalable, reliable, and aligned with business objectives. Platform & Operations (LLMOps) Deploy and operate services on Azure (AKS/ACI/Azure Functions, API Management). Implement CI/CD (GitHub Actions/Azure DevOps), Infrastructure as Code (Bicep/Terraform), secrets via Azure Key Vault, private networking. Add observability: tracing/telemetry (OpenTelemetry, LangSmith), metrics, logs, cost and token usage monitoring, alerts. Apply evaluation & QA: regression suites, offline eval sets/golden data, RAG evals (faithfulness, answer relevance, citation correctness), A/B tests, win rate testing. Ensure reliability: rate limit handling, retries/backoff, idempotency, circuit breakers, caching (e.g., Redis/semantic cache), fallbacks and degradations. Governance, Safety & Security Enforce PII handling, data minimization, redaction, access controls, and auditability. Mitigate prompt injection/jailbreak risks; apply content filters/guardrails; track data residency. Establish and drive best practices for model versioning, reproducibility, performance monitoring, bias mitigation, data governance, and ethical AI use. Document architectural decisions, runbooks, and operational procedures. Software Engineering & Collaboration Write clean, tested, maintainable code in Python (and optionally .NET). Apply SOLID, TDD/BDD where sensible, code reviews, refactoring, performance profiling. Collaborate in an Agile environment; contribute to technical specs and implementation plans. Build POCs to de risk architecture and showcase value; harden POCs into production services. Mentor and guide more junior engineers and other team members, review code; contribute to technical design reviews; raise the collective standard of the team. Stay abreast of the AI/ML research landscape and legal tech/legal analytics domain to bring relevant innovations into our stack. Skills and Experience Demonstrable experience in software engineering, with 2+ years building LLM/AI applications in production. Strong in Python, API design, asynchronous programming, and integration patterns. Proven ability to scale LLMs and other AI models for high volume, real world applications including optimising inference, managing computational resources, and ensuring reliability and maintainability. Programming & ML/LLM Frameworks Strong expertise in Python and relevant ML/LLM libraries/frameworks (e.g., PyTorch, TensorFlow, scikit learn). Hands on with LangGraph/LangChain, LlamaIndex or Semantic Kernel for orchestration (tools, agents, guards, structured I/O). Familiarity with Azure OpenAI and at least one open model stack (e.g., Llama/Mistral via vLLM/TGI/Ollama). Proficient with front end Frameworks such as Angular for integration of AI powered applications. Experience with graph databases and knowledge graphs (Neo4j) for knowledge graphs and tool routing. Production deployments on Azure (AKS/ACI/Functions), CI/CD, and Infrastructure as Code (Bicep/Terraform). Data & Information Management Experience with relational/semi structured database (MS SQL and Cosmos DB) and vector search indexing (Azure AI Search/pgvector/Pinecone/Weaviate/Milvus/Qdrant) plus Neo4j or equivalent graph database. Software Engineering & Architecture Solid grasp of SDLC practices: unit/integration/E2E testing, code review, documentation, and maintainable software development. Able to implement key architectural outcomes, including reusability, performance, separation of concerns, and quality integrity. Experience in asynchronous programming, API design, and integration patterns. Experience with ASR/TTS productionisation (Whisper, Azure Cognitive Services) and audio pipelines is desirable. Governance, Security & Compliance Strong understanding of security, compliance, and ethical AI practices, including Key Vault, private endpoints, PII handling, RBAC, data governance, and bias mitigation. Awareness of ethical and responsible AI use, including model versioning, reproducibility, and evaluation best practices. Person Specification A passionate software engineer/Data Scientist with a history of driving their own technical and professional development. Strong experience in cross functional collaboration, translating business and research requirements into technical solutions. Worked in the media, publishing, research or a similar consumer focused industry. (Highly Desirable) Communication - Able to clearly communicate complex technical subjects to team members and stakeholders. Able to Lead, providing thought leadership in their domain. Attention to Detail - focused on finer details that make the difference. Delivery Focus - pragmatic and driven to get solutions live. Be comfortable and motivated to deliver on personal KPIs. A Proactive attitude. A self starter who seeks out opportunities for yourself and your team. Awareness of industry trends - such as challenges and best practices. Positive attitude - generating enthusiasm among team members. Able to build strong personal relationships and trust. Comfortable in a fast paced, collaborative environment, balancing multiple priorities and driving projects to completion. Equal Opportunity Statement We are committed to fostering and promoting an inclusive professional environment for all of our employees, and we are proud to be an equal opportunity employer. Diversity and inclusion are integral values of Chambers and Partners and are key in our culture. We are committed to providing equal employment opportunities for all qualified individuals regardless of age, disability, race, sex, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. This commitment applies across all of our employment policies and practices, from recruiting and hiring to training and career development. We support our employees through our internal INSPIRE committee with Executive Sponsors, Chairs and Ambassadors throughout the business promoting knowledge and effecting change. As a Disability Confident employer, we will ensure that a fair number of disabled applicants that meet the minimum criteria for this position will be offered an interview.
Jan 01, 2026
Full time
Contact If you are unable to apply via the portal, please email your CV and Cover Letter to us directly to Overview We're looking for a Senior AI Engineer to build and scale cutting edge AI capabilities that drive smarter decisions and greater efficiency across Chambers and Partners. In this brand new role, you'll design and implement intelligent systems that enhance how we use data, streamline operations, and power innovation across our digital platforms. You'll play a key role in establishing the technical foundations for AI at Chambers, developing scalable solutions that push our technology forward and transform how we deliver value to our users. Main Duties and Responsibilities Build robust ingestion pipelines for PDFs/Word/Excel/Audio/JSON and semi structured sources. Design RAG systems: chunking strategies, document schemas, metadata, hybrid/dense retrieval, re ranking, and grounding. Manage vector/keyword indexes (e.g., Azure AI Search, pgvector, Pinecone/Weaviate). Develop and deploy advanced NLP, information retrieval, and recommendation systems that enhance Chambers and Partners' research and product offerings, including document understanding, automatic summarisation, topic modelling, semantic search, entity recognition, and relationship extraction. Design and implement intelligent tagging and metadata enrichment frameworks to categorize and organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build and maintain traditional ML and LLM models and pipelines. Build LLM apps using LangGraph/LangChain: tools/function calling, structured outputs (JSON Schema), agents, and multi step reasoning. Implement ASR/TTS and multimodal where relevant (e.g., Whisper). Choose customization paths pragmatically: prompt engineering, system prompts, tools, adapters/LoRA, and selective fine tuning only when needed. Fine tune and optimise ML models and LLMs to enhance performance, efficiency, and relevance for Chambers' research, analytics, and product applications. Apply best practices for model adaptation, evaluation, and deployment, ensuring solutions are scalable, reliable, and aligned with business objectives. Platform & Operations (LLMOps) Deploy and operate services on Azure (AKS/ACI/Azure Functions, API Management). Implement CI/CD (GitHub Actions/Azure DevOps), Infrastructure as Code (Bicep/Terraform), secrets via Azure Key Vault, private networking. Add observability: tracing/telemetry (OpenTelemetry, LangSmith), metrics, logs, cost and token usage monitoring, alerts. Apply evaluation & QA: regression suites, offline eval sets/golden data, RAG evals (faithfulness, answer relevance, citation correctness), A/B tests, win rate testing. Ensure reliability: rate limit handling, retries/backoff, idempotency, circuit breakers, caching (e.g., Redis/semantic cache), fallbacks and degradations. Governance, Safety & Security Enforce PII handling, data minimization, redaction, access controls, and auditability. Mitigate prompt injection/jailbreak risks; apply content filters/guardrails; track data residency. Establish and drive best practices for model versioning, reproducibility, performance monitoring, bias mitigation, data governance, and ethical AI use. Document architectural decisions, runbooks, and operational procedures. Software Engineering & Collaboration Write clean, tested, maintainable code in Python (and optionally .NET). Apply SOLID, TDD/BDD where sensible, code reviews, refactoring, performance profiling. Collaborate in an Agile environment; contribute to technical specs and implementation plans. Build POCs to de risk architecture and showcase value; harden POCs into production services. Mentor and guide more junior engineers and other team members, review code; contribute to technical design reviews; raise the collective standard of the team. Stay abreast of the AI/ML research landscape and legal tech/legal analytics domain to bring relevant innovations into our stack. Skills and Experience Demonstrable experience in software engineering, with 2+ years building LLM/AI applications in production. Strong in Python, API design, asynchronous programming, and integration patterns. Proven ability to scale LLMs and other AI models for high volume, real world applications including optimising inference, managing computational resources, and ensuring reliability and maintainability. Programming & ML/LLM Frameworks Strong expertise in Python and relevant ML/LLM libraries/frameworks (e.g., PyTorch, TensorFlow, scikit learn). Hands on with LangGraph/LangChain, LlamaIndex or Semantic Kernel for orchestration (tools, agents, guards, structured I/O). Familiarity with Azure OpenAI and at least one open model stack (e.g., Llama/Mistral via vLLM/TGI/Ollama). Proficient with front end Frameworks such as Angular for integration of AI powered applications. Experience with graph databases and knowledge graphs (Neo4j) for knowledge graphs and tool routing. Production deployments on Azure (AKS/ACI/Functions), CI/CD, and Infrastructure as Code (Bicep/Terraform). Data & Information Management Experience with relational/semi structured database (MS SQL and Cosmos DB) and vector search indexing (Azure AI Search/pgvector/Pinecone/Weaviate/Milvus/Qdrant) plus Neo4j or equivalent graph database. Software Engineering & Architecture Solid grasp of SDLC practices: unit/integration/E2E testing, code review, documentation, and maintainable software development. Able to implement key architectural outcomes, including reusability, performance, separation of concerns, and quality integrity. Experience in asynchronous programming, API design, and integration patterns. Experience with ASR/TTS productionisation (Whisper, Azure Cognitive Services) and audio pipelines is desirable. Governance, Security & Compliance Strong understanding of security, compliance, and ethical AI practices, including Key Vault, private endpoints, PII handling, RBAC, data governance, and bias mitigation. Awareness of ethical and responsible AI use, including model versioning, reproducibility, and evaluation best practices. Person Specification A passionate software engineer/Data Scientist with a history of driving their own technical and professional development. Strong experience in cross functional collaboration, translating business and research requirements into technical solutions. Worked in the media, publishing, research or a similar consumer focused industry. (Highly Desirable) Communication - Able to clearly communicate complex technical subjects to team members and stakeholders. Able to Lead, providing thought leadership in their domain. Attention to Detail - focused on finer details that make the difference. Delivery Focus - pragmatic and driven to get solutions live. Be comfortable and motivated to deliver on personal KPIs. A Proactive attitude. A self starter who seeks out opportunities for yourself and your team. Awareness of industry trends - such as challenges and best practices. Positive attitude - generating enthusiasm among team members. Able to build strong personal relationships and trust. Comfortable in a fast paced, collaborative environment, balancing multiple priorities and driving projects to completion. Equal Opportunity Statement We are committed to fostering and promoting an inclusive professional environment for all of our employees, and we are proud to be an equal opportunity employer. Diversity and inclusion are integral values of Chambers and Partners and are key in our culture. We are committed to providing equal employment opportunities for all qualified individuals regardless of age, disability, race, sex, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. This commitment applies across all of our employment policies and practices, from recruiting and hiring to training and career development. We support our employees through our internal INSPIRE committee with Executive Sponsors, Chairs and Ambassadors throughout the business promoting knowledge and effecting change. As a Disability Confident employer, we will ensure that a fair number of disabled applicants that meet the minimum criteria for this position will be offered an interview.
Job Details: Senior AI/Machine Learning Engineer If you are unable to apply via the portal, please email your CV and Cover Letter to us directly to Full details of the job. Vacancy Name: Senior AI/Machine Learning Engineer Vacancy No: VN996 Location: London Employment Type: Perm Basis: Full Time Overview Chambers and Partners is transforming how the world's leading legal professionals access insight and intelligence and we're looking for a Senior AI Engineer to help drive that innovation. In this pivotal role, you'll design, develop, and deploy advanced AI and machine learning solutions that power our next generation of products and research capabilities. Collaborating closely with our architecture, research, analytics, and product teams, you'll bring creativity and technical expertise to the forefront of our data and technology strategy. This is a hands on engineering position focused on building and operating production grade LLM applications on Azure. You'll work on AI enabled and augmented intelligence solutions such as retrieval augmented generation (RAG), agentic workflows, and model integrations with a strong emphasis on reliability, performance, security, and continuous improvement. Main Duties and Responsibilities Data & Retrieval Build robust ingestion pipelines for PDFs/Word/Excel/Audio/JSON and semi structured sources. Design RAG systems: chunking strategies, document schemas, metadata, hybrid/dense retrieval, re ranking, and grounding. Manage vector/keyword indexes (e.g., Azure AI Search, pgvector, Pinecone/Weaviate). Develop and deploy advanced NLP, information retrieval, and recommendation systems that enhance Chambers and Partners' research and product offerings, including document understanding, automatic summarisation, topic modelling, semantic search, entity recognition, and relationship extraction. Design and implement intelligent tagging and metadata enrichment frameworks to categorize and organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models and pipelines. Build LLM apps using LangGraph/LangChain: tools/function calling, structured outputs (JSON Schema), agents, and multi step reasoning. Implement ASR/TTS and multimodal where relevant (e.g., Whisper). Choose customization paths pragmatically: prompt engineering, system prompts, tools, adapters/LoRA, and selective fine tuning only when needed. Fine tune and optimize ML models and LLMs to enhance performance, efficiency, and relevance for Chambers' research, analytics, and product applications. Apply best practices for model adaptation, evaluation, and deployment, ensuring solutions are scalable, reliable, and aligned with business objectives. Platform & Operations (LLMOps) Deploy and operate services on Azure (AKS/ACI/Azure Functions, API Management). Implement CI/CD (GitHub Actions/Azure DevOps), Infrastructure as Code (Bicep/Terraform), secrets via Azure Key Vault, private networking. Add observability: tracing/telemetry (OpenTelemetry, LangSmith), metrics, logs, cost and token usage monitoring, alerts. Apply evaluation & QA: regression suites, offline eval sets/golden data, RAG evals (faithfulness, answer relevance, citation correctness), A/B tests, win rate testing. Ensure reliability: rate limit handling, retries/backoff, idempotency, circuit breakers, caching (e.g., Redis/semantic cache), fallbacks and degradations. Governance, Safety & Security Enforce PII handling, data minimization, redaction, access controls, and auditability. Mitigate prompt injection/jailbreak risks; apply content filters/guardrails; track data residency. Establish and drive best practices for model versioning, reproducibility, performance monitoring, bias mitigation, data governance, and ethical AI use. Document architectural decisions, runbooks, and operational procedures. Software Engineering & Collaboration Write clean, tested, maintainable code in Python (and optionally .NET). Apply SOLID, TDD/BDD where sensible, code reviews, refactoring, performance profiling. Collaborate in an Agile environment; contribute to technical specs and implementation plans. Build POCs to de risk architecture and showcase value; harden POCs into production services. Mentor and guide more junior engineers and data scientists; review code; contribute to technical design reviews; raise the collective standard of the team. Stay abreast of the AI/ML research landscape and legal tech/legal analytics domain to bring relevant innovations into our stack. Skills and Experience Significant demonstrable experience in software engineering, with 2+ years building LLM/AI applications in production. Strong in Python, API design, asynchronous programming, and integration patterns. Proven ability to scale LLMs and other AI models for high volume, real world applications, including optimizing inference, managing computational resources, and ensuring reliability and maintainability. Programming & ML/LLM Frameworks Strong expertise in Python and relevant ML/LLM libraries/frameworks (e.g., PyTorch, TensorFlow, scikit learn). Strong in Python, API design, asynchronous programming, and integration patterns. Hands on with LangGraph/LangChain, LlamaIndex or Semantic Kernel for orchestration (tools, agents, guards, structured I/O). Familiarity with Azure OpenAI and at least one open model stack (e.g., Llama/Mistral via vLLM/TGI/Ollama). Proficient with front end frameworks such as Angular for integration of AI powered applications. Experience with graph databases and knowledge graphs (Neo4j) for knowledge graphs and tool routing. Cloud Deployment & MLOps Production deployments on Azure (AKS/ACI/Functions), CI/CD, and Infrastructure as Code (Bicep/Terraform). Solid understanding of cloud platforms and data infrastructure. Data & Information Management Experience with relational / semi structured database (MS SQL and Cosmos DB) and vector search indexing (Azure AI Search/pgvector/Pinecone/Weaviate/Milvus/Qdrant) plus Neo4j or equivalent graph database. Software Engineering & Architecture Solid grasp of SDLC practices: unit/integration/E2E testing, code review, documentation, and maintainable software development. Able to implement key architectural outcomes, including reusability, performance, separation of concerns, and quality integrity. Experience in asynchronous programming, API design, and integration patterns. Experience with ASR/TTS productionisation (Whisper, Azure Cognitive Services) and audio pipelines is desirable. Governance, Security & Compliance Strong understanding of security, compliance, and ethical AI practices, including Key Vault, private endpoints, PII handling, RBAC, data governance, and bias mitigation. Awareness of ethical and responsible AI use, including model versioning, reproducibility, and evaluation best practices. Person Specification A passionate software engineer/Data Scientist with a history of driving their own technical and professional development. Worked in the media, publishing, research or a similar consumer focused industry. (Highly Desirable) Communication - Able to clearly communicate complex technical subjects to team members and stakeholders. Able to lead, providing thought leadership in their domain. Attention to detail - focused on the finer details that make the difference. Delivery focus - pragmatic and driven to get solutions live. Be comfortable and motivated to deliver on personal KPIs. A proactive attitude. A self starter who seeks out opportunities for themselves and their team. Awareness of industry trends - such as challenges and best practices. Positive attitude - generating enthusiasm among team members. Able to build strong personal relationships and trust. Applications Close Date Job Description Equal Opportunity Statement We are committed to fostering and promoting an inclusive professional environment for all of our employees, and we are proud to be an equal opportunity employer. Diversity and inclusion are integral values of Chambers and Partners and are key in our culture. We are committed to providing equal employment opportunities for all qualified individuals regardless of age, disability, race, sex, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. This commitment applies across all of our employment policies and practices, from recruiting and hiring to training and career development. We support our employees through our internal INSPIRE committee with Executive Sponsors, Chairs and Ambassadors throughout the business promoting knowledge and effecting change. As a Disability Confident employer, we will ensure that a fair number of disabled applicants that meet the minimum criteria for this position will be offered an interview.
Jan 01, 2026
Full time
Job Details: Senior AI/Machine Learning Engineer If you are unable to apply via the portal, please email your CV and Cover Letter to us directly to Full details of the job. Vacancy Name: Senior AI/Machine Learning Engineer Vacancy No: VN996 Location: London Employment Type: Perm Basis: Full Time Overview Chambers and Partners is transforming how the world's leading legal professionals access insight and intelligence and we're looking for a Senior AI Engineer to help drive that innovation. In this pivotal role, you'll design, develop, and deploy advanced AI and machine learning solutions that power our next generation of products and research capabilities. Collaborating closely with our architecture, research, analytics, and product teams, you'll bring creativity and technical expertise to the forefront of our data and technology strategy. This is a hands on engineering position focused on building and operating production grade LLM applications on Azure. You'll work on AI enabled and augmented intelligence solutions such as retrieval augmented generation (RAG), agentic workflows, and model integrations with a strong emphasis on reliability, performance, security, and continuous improvement. Main Duties and Responsibilities Data & Retrieval Build robust ingestion pipelines for PDFs/Word/Excel/Audio/JSON and semi structured sources. Design RAG systems: chunking strategies, document schemas, metadata, hybrid/dense retrieval, re ranking, and grounding. Manage vector/keyword indexes (e.g., Azure AI Search, pgvector, Pinecone/Weaviate). Develop and deploy advanced NLP, information retrieval, and recommendation systems that enhance Chambers and Partners' research and product offerings, including document understanding, automatic summarisation, topic modelling, semantic search, entity recognition, and relationship extraction. Design and implement intelligent tagging and metadata enrichment frameworks to categorize and organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models and pipelines. Build LLM apps using LangGraph/LangChain: tools/function calling, structured outputs (JSON Schema), agents, and multi step reasoning. Implement ASR/TTS and multimodal where relevant (e.g., Whisper). Choose customization paths pragmatically: prompt engineering, system prompts, tools, adapters/LoRA, and selective fine tuning only when needed. Fine tune and optimize ML models and LLMs to enhance performance, efficiency, and relevance for Chambers' research, analytics, and product applications. Apply best practices for model adaptation, evaluation, and deployment, ensuring solutions are scalable, reliable, and aligned with business objectives. Platform & Operations (LLMOps) Deploy and operate services on Azure (AKS/ACI/Azure Functions, API Management). Implement CI/CD (GitHub Actions/Azure DevOps), Infrastructure as Code (Bicep/Terraform), secrets via Azure Key Vault, private networking. Add observability: tracing/telemetry (OpenTelemetry, LangSmith), metrics, logs, cost and token usage monitoring, alerts. Apply evaluation & QA: regression suites, offline eval sets/golden data, RAG evals (faithfulness, answer relevance, citation correctness), A/B tests, win rate testing. Ensure reliability: rate limit handling, retries/backoff, idempotency, circuit breakers, caching (e.g., Redis/semantic cache), fallbacks and degradations. Governance, Safety & Security Enforce PII handling, data minimization, redaction, access controls, and auditability. Mitigate prompt injection/jailbreak risks; apply content filters/guardrails; track data residency. Establish and drive best practices for model versioning, reproducibility, performance monitoring, bias mitigation, data governance, and ethical AI use. Document architectural decisions, runbooks, and operational procedures. Software Engineering & Collaboration Write clean, tested, maintainable code in Python (and optionally .NET). Apply SOLID, TDD/BDD where sensible, code reviews, refactoring, performance profiling. Collaborate in an Agile environment; contribute to technical specs and implementation plans. Build POCs to de risk architecture and showcase value; harden POCs into production services. Mentor and guide more junior engineers and data scientists; review code; contribute to technical design reviews; raise the collective standard of the team. Stay abreast of the AI/ML research landscape and legal tech/legal analytics domain to bring relevant innovations into our stack. Skills and Experience Significant demonstrable experience in software engineering, with 2+ years building LLM/AI applications in production. Strong in Python, API design, asynchronous programming, and integration patterns. Proven ability to scale LLMs and other AI models for high volume, real world applications, including optimizing inference, managing computational resources, and ensuring reliability and maintainability. Programming & ML/LLM Frameworks Strong expertise in Python and relevant ML/LLM libraries/frameworks (e.g., PyTorch, TensorFlow, scikit learn). Strong in Python, API design, asynchronous programming, and integration patterns. Hands on with LangGraph/LangChain, LlamaIndex or Semantic Kernel for orchestration (tools, agents, guards, structured I/O). Familiarity with Azure OpenAI and at least one open model stack (e.g., Llama/Mistral via vLLM/TGI/Ollama). Proficient with front end frameworks such as Angular for integration of AI powered applications. Experience with graph databases and knowledge graphs (Neo4j) for knowledge graphs and tool routing. Cloud Deployment & MLOps Production deployments on Azure (AKS/ACI/Functions), CI/CD, and Infrastructure as Code (Bicep/Terraform). Solid understanding of cloud platforms and data infrastructure. Data & Information Management Experience with relational / semi structured database (MS SQL and Cosmos DB) and vector search indexing (Azure AI Search/pgvector/Pinecone/Weaviate/Milvus/Qdrant) plus Neo4j or equivalent graph database. Software Engineering & Architecture Solid grasp of SDLC practices: unit/integration/E2E testing, code review, documentation, and maintainable software development. Able to implement key architectural outcomes, including reusability, performance, separation of concerns, and quality integrity. Experience in asynchronous programming, API design, and integration patterns. Experience with ASR/TTS productionisation (Whisper, Azure Cognitive Services) and audio pipelines is desirable. Governance, Security & Compliance Strong understanding of security, compliance, and ethical AI practices, including Key Vault, private endpoints, PII handling, RBAC, data governance, and bias mitigation. Awareness of ethical and responsible AI use, including model versioning, reproducibility, and evaluation best practices. Person Specification A passionate software engineer/Data Scientist with a history of driving their own technical and professional development. Worked in the media, publishing, research or a similar consumer focused industry. (Highly Desirable) Communication - Able to clearly communicate complex technical subjects to team members and stakeholders. Able to lead, providing thought leadership in their domain. Attention to detail - focused on the finer details that make the difference. Delivery focus - pragmatic and driven to get solutions live. Be comfortable and motivated to deliver on personal KPIs. A proactive attitude. A self starter who seeks out opportunities for themselves and their team. Awareness of industry trends - such as challenges and best practices. Positive attitude - generating enthusiasm among team members. Able to build strong personal relationships and trust. Applications Close Date Job Description Equal Opportunity Statement We are committed to fostering and promoting an inclusive professional environment for all of our employees, and we are proud to be an equal opportunity employer. Diversity and inclusion are integral values of Chambers and Partners and are key in our culture. We are committed to providing equal employment opportunities for all qualified individuals regardless of age, disability, race, sex, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. This commitment applies across all of our employment policies and practices, from recruiting and hiring to training and career development. We support our employees through our internal INSPIRE committee with Executive Sponsors, Chairs and Ambassadors throughout the business promoting knowledge and effecting change. As a Disability Confident employer, we will ensure that a fair number of disabled applicants that meet the minimum criteria for this position will be offered an interview.
We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be world leaders of Voice AI, consisting of STT, TTS, and Flow; our brand new Conversational AI platform. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions. Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. What you'll be doing: Work on complex R&D projects, with a diverse group of engineers, to achieve ambitious goals. Stay current with the latest developments in Machine learning. Execute high-impact projects to ensure team success. Work collaboratively across departments and mentor team members (where appropriate). Who we are looking for: Demonstrated experience in collaboratively pursuing ambitiousR&D agendas. Precise attention to detail, but is also aware of how the big picture relates to company goals, and where the field of Machine Learning is headed towards. Understanding of the modern Machine Learning stack, for example: - Knowledge of contemporary transformer architectures (e.g., GQA, KV-caching) and best practices. - Experience in distributed training techniques. - Familiarity with optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding). With preferred backgrounds covering some of the following: - Publications in top-tier conferences. - Contributions to popular open-source repositories. - Technical writing skills as evidenced by relevant publications or blogs. We encourage you to apply even if you do not feel you match all of the requirements exactly. The list of requirements is intended to show the kinds of experience and qualities we're looking for, but it is not exhaustive. If you are interested in the role, the team, and our mission, we would love to consider your application. We are always open to conversations and look forward to hearing from you. Who we are: Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers stack irrespective of their industry or use case - making it the go-to solution to harness useful information from speech. Joining us means working with some of the smartest minds around the world, focused on cutting-edge projects and deploying the latest techniques to disrupt the market. We believe in putting people first; we'll do all we can to help you develop your skills and give you the tools you need to thrive. Our Focus Fridays give you an undisturbed day of focus, offset with Together Tuesdays when we have our team meetings, so you've always got the right balance. We have structured a hybrid approach that includes 2-3 designated office days each week. This arrangement ensures that while we embrace the advantages of remote work, we also maintain the vital connection and synergy that only in-person interactions can foster. This is only the beginning; we're looking for amazing people like you to continue our journey What we can offer you: No matter what stage of your career you're at - from paid internships and first-job opportunities through to management and senior positions - we'll support you with the training and development needed to reach your career aspirations with us. There really is no shortage of opportunities here for you to get involved and collaborate with those around you to deliver your best work. We offer incredibly flexible working, regular company lunches, and birthday celebrations. But that's not all. We've spoken to our teams to find out what they want. From Private Medical, and Dental for you and your family, through to global working opportunities, a generous holiday allowance and pension/401K matching, we want to make sure our employees and their families are looked after. Every employee will receive a working from home allowance for tech or home office equipment (on top of your choice of laptop and accessories of course). Our approach to parental leave is designed to support employees globally. While this varies by geo, we have support in place for parents (including adoption assistance and reproductive health services) to ensure they have the time and financial resources needed to care for their growing families. At Speechmatics, our mission is simple: Understand Every Voice out there. That's not just about our tech - it's the heart and soul of who we are.We welcome different experiences, viewpoints, and identities. For us, it's not just the right thing to do; it's our catalyst for sparking innovation and creativity. Our teams thrive in an environment that celebrates and supports everyone - no matter their gender, identity or expression, race, disability, age, sexual orientation, religion, belief, marital status, national origin, veteran status, pregnancy, or maternity status. But we don't just open the door to diversity - we actively welcome it. Why? Because we believe every unique voice adds something special to our team, leading us to smarter solutions and a better workplace. So, come as you are and join our Speechling community. We're building a place where every voice not only gets heard but is also respected and valued. We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment. Create a Job Alert Interested in building your career at Speechmatics? Get future opportunities sent straight to your email. Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile How did you hear about us? Select Are you authorised to work in the country where this job is located? Select Have you worked for Speechmatics in the past? Select Are you currently a Speechmatics employee? Select Would you like to make us aware of any adjustments needed for your interview process? Demographic Questions (Europe) We want to make Speechmatics a place where everyone can do their best work, by bringing together diversity of thought and experience and creating an inclusive environment where our people can thrive. Therefore, we would like you to complete these optional questions. Answers are anonymous and not linked to you or your application in anyway. The information you decide to submit will not affect your application but will help us to understand how we are doing when attracting talent. We are an equal opportunity employer and value people of all identities and backgrounds at our company. How old are you? Select What is your gender identity? Select Do you identify as trans? Select What is your ethnicity? Select How would you describe your sexual orientation? Select Do you consider yourself to have a long-term health condition, impairment or disability? Select What is your religion? Select By checking this box, I consent to Speechmatics collecting, storing, and processing my responses to the demographic data surveys above.
Jan 01, 2026
Full time
We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be world leaders of Voice AI, consisting of STT, TTS, and Flow; our brand new Conversational AI platform. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions. Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. What you'll be doing: Work on complex R&D projects, with a diverse group of engineers, to achieve ambitious goals. Stay current with the latest developments in Machine learning. Execute high-impact projects to ensure team success. Work collaboratively across departments and mentor team members (where appropriate). Who we are looking for: Demonstrated experience in collaboratively pursuing ambitiousR&D agendas. Precise attention to detail, but is also aware of how the big picture relates to company goals, and where the field of Machine Learning is headed towards. Understanding of the modern Machine Learning stack, for example: - Knowledge of contemporary transformer architectures (e.g., GQA, KV-caching) and best practices. - Experience in distributed training techniques. - Familiarity with optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding). With preferred backgrounds covering some of the following: - Publications in top-tier conferences. - Contributions to popular open-source repositories. - Technical writing skills as evidenced by relevant publications or blogs. We encourage you to apply even if you do not feel you match all of the requirements exactly. The list of requirements is intended to show the kinds of experience and qualities we're looking for, but it is not exhaustive. If you are interested in the role, the team, and our mission, we would love to consider your application. We are always open to conversations and look forward to hearing from you. Who we are: Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers stack irrespective of their industry or use case - making it the go-to solution to harness useful information from speech. Joining us means working with some of the smartest minds around the world, focused on cutting-edge projects and deploying the latest techniques to disrupt the market. We believe in putting people first; we'll do all we can to help you develop your skills and give you the tools you need to thrive. Our Focus Fridays give you an undisturbed day of focus, offset with Together Tuesdays when we have our team meetings, so you've always got the right balance. We have structured a hybrid approach that includes 2-3 designated office days each week. This arrangement ensures that while we embrace the advantages of remote work, we also maintain the vital connection and synergy that only in-person interactions can foster. This is only the beginning; we're looking for amazing people like you to continue our journey What we can offer you: No matter what stage of your career you're at - from paid internships and first-job opportunities through to management and senior positions - we'll support you with the training and development needed to reach your career aspirations with us. There really is no shortage of opportunities here for you to get involved and collaborate with those around you to deliver your best work. We offer incredibly flexible working, regular company lunches, and birthday celebrations. But that's not all. We've spoken to our teams to find out what they want. From Private Medical, and Dental for you and your family, through to global working opportunities, a generous holiday allowance and pension/401K matching, we want to make sure our employees and their families are looked after. Every employee will receive a working from home allowance for tech or home office equipment (on top of your choice of laptop and accessories of course). Our approach to parental leave is designed to support employees globally. While this varies by geo, we have support in place for parents (including adoption assistance and reproductive health services) to ensure they have the time and financial resources needed to care for their growing families. At Speechmatics, our mission is simple: Understand Every Voice out there. That's not just about our tech - it's the heart and soul of who we are.We welcome different experiences, viewpoints, and identities. For us, it's not just the right thing to do; it's our catalyst for sparking innovation and creativity. Our teams thrive in an environment that celebrates and supports everyone - no matter their gender, identity or expression, race, disability, age, sexual orientation, religion, belief, marital status, national origin, veteran status, pregnancy, or maternity status. But we don't just open the door to diversity - we actively welcome it. Why? Because we believe every unique voice adds something special to our team, leading us to smarter solutions and a better workplace. So, come as you are and join our Speechling community. We're building a place where every voice not only gets heard but is also respected and valued. We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment. Create a Job Alert Interested in building your career at Speechmatics? Get future opportunities sent straight to your email. Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile How did you hear about us? Select Are you authorised to work in the country where this job is located? Select Have you worked for Speechmatics in the past? Select Are you currently a Speechmatics employee? Select Would you like to make us aware of any adjustments needed for your interview process? Demographic Questions (Europe) We want to make Speechmatics a place where everyone can do their best work, by bringing together diversity of thought and experience and creating an inclusive environment where our people can thrive. Therefore, we would like you to complete these optional questions. Answers are anonymous and not linked to you or your application in anyway. The information you decide to submit will not affect your application but will help us to understand how we are doing when attracting talent. We are an equal opportunity employer and value people of all identities and backgrounds at our company. How old are you? Select What is your gender identity? Select Do you identify as trans? Select What is your ethnicity? Select How would you describe your sexual orientation? Select Do you consider yourself to have a long-term health condition, impairment or disability? Select What is your religion? Select By checking this box, I consent to Speechmatics collecting, storing, and processing my responses to the demographic data surveys above.
About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, creating a unique opportunity to join one of the most innovative TechBio companies. At the heart of London, our state of the art wet and dry laboratories provide an exceptional environment where interdisciplinary collaboration thrives. Together, we're pushing the boundaries of drug discovery and transforming groundbreaking science into impactful therapies for patients. We believe that innovation flourishes through diversity and collaboration. As an equal opportunities' employer, we are committed to building inclusive teams where everyone can contribute their unique perspectives and thrive. We welcome individuals of all backgrounds, fostering an environment where every team member is empowered to do their best work and reach their highest potential. By joining Relation, you'll become part of an exceptionally talented team with extraordinary leverage to advance the future of drug discovery. Your work will help shape our culture, influence our strategic direction, and, most importantly, make a lasting difference in the lives of patients. The Opportunity Join our machine learning group as a Research Engineer and help drive the development, deployment, and scaling of ML and computational systems across the company. You'll work at the intersection of research and engineering-improving research workflows, supporting rapid experimentation, and enabling teams to push the limits of modern ML. You'll collaborate with machine learning scientists, data scientists, platform engineers, and other domain experts across the organisation. Depending on priorities, you may work within a specific ML team or operate in a cross functional capacity. Based at our wet/dry lab and headquarters in central London, you'll tackle challenges involving large datasets, complex models, and high performance compute. Your work will strengthen our training and inference pipelines, improve our software foundations, and optimise our hybrid on prem/cloud environment, which includes dedicated DGX clusters and collaboration with partners like NVIDIA. This role offers a chance to shape the systems and tools that power cutting edge ML research. Your Responsibilities Work with interdisciplinary teams to solve challenges across data engineering, ML engineering, and software engineering. Build and improve data processing, transformation, and loading systems to support model training and inference at scale. Develop and maintain high quality research and production codebases to enable rapid, reproducible experimentation. Advance our software engineering practices by optimising systems, streamlining pipelines, and improving robustness across workflows. Professionally, you have: Education & Experience BSc/MSc/PhD in CS/ML/Engineering (or related), 2+ years industry experience. Core Skills Solid understanding of algorithms, data structures, complexity. Proficiency in Python with clean, maintainable coding practices. Familiarity with PyTorch and common scientific Python libraries. ML Expertise Solid understanding of ML fundamentals and modern deep learning. Experience training, evaluating, and iterating on models. Infrastructure Familiarity with AWS/GCP, Docker, Kubernetes, and CI/CD. Familiarity with orchestration tools (Airflow/Prefect) and model serving frameworks. Nice to Have Exposure to biology/bioinformatics or ML for scientific domains. Personally, you are: A collaborative team player, able to work and communicate effectively with stakeholders from diverse backgrounds and technical abilities Passionate about science and making a real difference for patients Self motivated, curious and driven to succeed User minded: you think about how datasets and models will be used downstream Comfortable working independently and taking initiative Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and drug discovery. The patient is waiting! Relation is a committed equal opportunities employer. Recruitment agencies: Please note that Relation Therapeutics does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation Therapeutics will not be liable for any fees associated with unsolicited CVs.
Jan 01, 2026
Full time
About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, creating a unique opportunity to join one of the most innovative TechBio companies. At the heart of London, our state of the art wet and dry laboratories provide an exceptional environment where interdisciplinary collaboration thrives. Together, we're pushing the boundaries of drug discovery and transforming groundbreaking science into impactful therapies for patients. We believe that innovation flourishes through diversity and collaboration. As an equal opportunities' employer, we are committed to building inclusive teams where everyone can contribute their unique perspectives and thrive. We welcome individuals of all backgrounds, fostering an environment where every team member is empowered to do their best work and reach their highest potential. By joining Relation, you'll become part of an exceptionally talented team with extraordinary leverage to advance the future of drug discovery. Your work will help shape our culture, influence our strategic direction, and, most importantly, make a lasting difference in the lives of patients. The Opportunity Join our machine learning group as a Research Engineer and help drive the development, deployment, and scaling of ML and computational systems across the company. You'll work at the intersection of research and engineering-improving research workflows, supporting rapid experimentation, and enabling teams to push the limits of modern ML. You'll collaborate with machine learning scientists, data scientists, platform engineers, and other domain experts across the organisation. Depending on priorities, you may work within a specific ML team or operate in a cross functional capacity. Based at our wet/dry lab and headquarters in central London, you'll tackle challenges involving large datasets, complex models, and high performance compute. Your work will strengthen our training and inference pipelines, improve our software foundations, and optimise our hybrid on prem/cloud environment, which includes dedicated DGX clusters and collaboration with partners like NVIDIA. This role offers a chance to shape the systems and tools that power cutting edge ML research. Your Responsibilities Work with interdisciplinary teams to solve challenges across data engineering, ML engineering, and software engineering. Build and improve data processing, transformation, and loading systems to support model training and inference at scale. Develop and maintain high quality research and production codebases to enable rapid, reproducible experimentation. Advance our software engineering practices by optimising systems, streamlining pipelines, and improving robustness across workflows. Professionally, you have: Education & Experience BSc/MSc/PhD in CS/ML/Engineering (or related), 2+ years industry experience. Core Skills Solid understanding of algorithms, data structures, complexity. Proficiency in Python with clean, maintainable coding practices. Familiarity with PyTorch and common scientific Python libraries. ML Expertise Solid understanding of ML fundamentals and modern deep learning. Experience training, evaluating, and iterating on models. Infrastructure Familiarity with AWS/GCP, Docker, Kubernetes, and CI/CD. Familiarity with orchestration tools (Airflow/Prefect) and model serving frameworks. Nice to Have Exposure to biology/bioinformatics or ML for scientific domains. Personally, you are: A collaborative team player, able to work and communicate effectively with stakeholders from diverse backgrounds and technical abilities Passionate about science and making a real difference for patients Self motivated, curious and driven to succeed User minded: you think about how datasets and models will be used downstream Comfortable working independently and taking initiative Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and drug discovery. The patient is waiting! Relation is a committed equal opportunities employer. Recruitment agencies: Please note that Relation Therapeutics does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation Therapeutics will not be liable for any fees associated with unsolicited CVs.
