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Chambers and Partners
Senior AI/Machine Learning Engineer
Chambers and Partners
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.
03/02/2026
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.
Chambers and Partners
Senior AI Engineer
Chambers and Partners
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.
02/02/2026
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.
Senior Software Engineer - Editorial Apps & Platforms
BLOOMBERG L.P.
Senior Software Engineer - Editorial Apps & Platforms Location London Business Area Engineering and CTO Ref # Description & Requirements Bloomberg News, Research, and Media make up one of the world's largest and most influential news organizations - more than 2,700 journalists and analysts across 120+ countries - delivering market-moving reporting at global scale. Our award-winning journalism, recognized with multiple Pulitzer Prizes, Loeb Awards, and Emmys, drives decision making for business leaders, investors, and policymakers every day. We are responsible for the full product suite behind Bloomberg's editorial and research workflow - including content discovery platforms, analyst coding environments, research & content management systems. Our teams builds tools that enable content creators to: Discover insights buried in massive datasets Write, edit, visualize, and publish high impact stories Collaborate to build content in real time Personalize workflows across editorial domains Accelerate research and reduce time to market Leverage AI to uncover narratives and optimize content delivery Our mission is simple: Build software to generate real time content, visual insights, and analysis that give Bloomberg clients an edge in monitoring markets around the world. This mission unifies the entire Editorial Apps & Platforms portfolio - from discovery to data analysis to publishing - ensuring Bloomberg's content creators can produce trusted, market moving insights with unprecedented speed and intelligence. Where We're Going In 2026 and beyond, we're bringing these ecosystems together under a unified vision: AI native editorial workflows (story optimization, metadata inference, human in the loop content drafting) Personalized content tools based on user roles, beats, and expertise Faster, more robust publishing pipelines, helping us automate how editors promote stories Cross platform editorial collaboration Modernized web first authoring and data analysis tools Consistent metadata governance & quality What You'll Do: As a Senior Software Engineer in Editorial Apps & Platforms, you will: Build scalable, full stack applications using technologies such as Python, Typescript, React/NextJS, Kafka, Redis and Bloomberg's internal platforms. Own the full software development lifecycle: architecture, design, coding, testing, deployment, and support. Work directly with editors, reporters, analysts, economists, researchers, and product managers to understand their workflows and craft intuitive, high impact solutions. Develop re usable federated web applications powering editorial and research content creation. Contribute to the modernization of our CMS platforms, coding environments, and content discovery tools. Experiment with AI, NLP, and automation to improve quality, reduce friction, and accelerate content creation. Uphold high standards for code quality, testing, CI, resilience, and maintainability. You'll Need to Have: Strong experience in an object oriented programming language (Python, C++, Java, etc.). Experience building robust, production grade full stack applications. Ability to collaborate with non technical and technical users alike. A passion for enabling others - building tools that empower content creators. We'd love to see: Experience with React/NextJS, Typescript, modern web UI patterns, and real time collaboration frameworks. Background in data pipelines, large scale data processing, Kafka, Trino, Iceberg, or analytics tooling. Experience in CMS development, newsroom engineering, or news vendor applications. Interest in NLP, generative AI, personalization systems, or content quality models. Experience mentoring teammates and shaping engineering culture. Why You'll Love Working With Us Direct impact on how the world's most influential newsroom and research organization operates. Close partnerships with journalists and analysts - real users with mission critical needs. A collaborative, supportive engineering culture across New York, London, and Princeton. Opportunities to work across multiple product areas, from CMS to data platforms to editorial AI. Regular team events, hackathons, cross Atlantic collaboration, and a thriving community of content focused engineers. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
02/02/2026
Full time
Senior Software Engineer - Editorial Apps & Platforms Location London Business Area Engineering and CTO Ref # Description & Requirements Bloomberg News, Research, and Media make up one of the world's largest and most influential news organizations - more than 2,700 journalists and analysts across 120+ countries - delivering market-moving reporting at global scale. Our award-winning journalism, recognized with multiple Pulitzer Prizes, Loeb Awards, and Emmys, drives decision making for business leaders, investors, and policymakers every day. We are responsible for the full product suite behind Bloomberg's editorial and research workflow - including content discovery platforms, analyst coding environments, research & content management systems. Our teams builds tools that enable content creators to: Discover insights buried in massive datasets Write, edit, visualize, and publish high impact stories Collaborate to build content in real time Personalize workflows across editorial domains Accelerate research and reduce time to market Leverage AI to uncover narratives and optimize content delivery Our mission is simple: Build software to generate real time content, visual insights, and analysis that give Bloomberg clients an edge in monitoring markets around the world. This mission unifies the entire Editorial Apps & Platforms portfolio - from discovery to data analysis to publishing - ensuring Bloomberg's content creators can produce trusted, market moving insights with unprecedented speed and intelligence. Where We're Going In 2026 and beyond, we're bringing these ecosystems together under a unified vision: AI native editorial workflows (story optimization, metadata inference, human in the loop content drafting) Personalized content tools based on user roles, beats, and expertise Faster, more robust publishing pipelines, helping us automate how editors promote stories Cross platform editorial collaboration Modernized web first authoring and data analysis tools Consistent metadata governance & quality What You'll Do: As a Senior Software Engineer in Editorial Apps & Platforms, you will: Build scalable, full stack applications using technologies such as Python, Typescript, React/NextJS, Kafka, Redis and Bloomberg's internal platforms. Own the full software development lifecycle: architecture, design, coding, testing, deployment, and support. Work directly with editors, reporters, analysts, economists, researchers, and product managers to understand their workflows and craft intuitive, high impact solutions. Develop re usable federated web applications powering editorial and research content creation. Contribute to the modernization of our CMS platforms, coding environments, and content discovery tools. Experiment with AI, NLP, and automation to improve quality, reduce friction, and accelerate content creation. Uphold high standards for code quality, testing, CI, resilience, and maintainability. You'll Need to Have: Strong experience in an object oriented programming language (Python, C++, Java, etc.). Experience building robust, production grade full stack applications. Ability to collaborate with non technical and technical users alike. A passion for enabling others - building tools that empower content creators. We'd love to see: Experience with React/NextJS, Typescript, modern web UI patterns, and real time collaboration frameworks. Background in data pipelines, large scale data processing, Kafka, Trino, Iceberg, or analytics tooling. Experience in CMS development, newsroom engineering, or news vendor applications. Interest in NLP, generative AI, personalization systems, or content quality models. Experience mentoring teammates and shaping engineering culture. Why You'll Love Working With Us Direct impact on how the world's most influential newsroom and research organization operates. Close partnerships with journalists and analysts - real users with mission critical needs. A collaborative, supportive engineering culture across New York, London, and Princeton. Opportunities to work across multiple product areas, from CMS to data platforms to editorial AI. Regular team events, hackathons, cross Atlantic collaboration, and a thriving community of content focused engineers. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Enterprise Architect - Product Inventory Domain
easyJet Airline Company PLC Luton, Bedfordshire
Overview Enterprise Architect - Product Inventory Domain (16643) Job purpose As the Enterprise Architect for the Product Inventory Domain, you will be responsible for the Product & Inventory technology architecture strategy for easyJet Holidays, ensuring alignment with wider technology and business strategy. You will work with the business on ideation and discovery for key strategic Commercial initiatives and provide high level solution design for those initiatives. The role involves collaboration with domain solution architects and the wider architecture team, all reporting to the Head of Architecture. The Product and Inventory domain covers backend reservation systems, inventory setup and maintenance (e.g., accommodation onboarding), and integration with 3rd party product inventory providers including accommodation, flight, and transfer systems. You will be accountable for all product inventory domain architecture artefacts and ensure designs and decisions are governed according to the practice. You will guide solution architects in iterative product solution design. Job Accountabilities Lead the technology strategy for end-to-end solutions in the Product Inventory Domain, working with technical leads and the Head of Architecture to drive long-term architectural direction. Collaborate with Business functions in discovery for new ideas and major Holidays initiatives, providing conceptual solutions, options analysis, estimation, and guidance to realise the initiative vision. Produce high-quality, comprehensive solution designs artefacts for key strategic initiatives, balancing functional and non-functional drivers, understanding risk, and aligning to IT strategy and standards within an agile, product-based framework. Contribute to continuous improvement of the architecture practice, maintaining views of evolving Product & Inventory technology landscape, identifying patterns and standards, and ensuring artefacts and decisions are well documented and governed. Key Skills & Qualifications Experience of pragmatic architecture governance, design governance, production of enterprise artefacts, and maintenance of architecture viewpoints. Demonstrable experience leading major initiative discovery and experimentation. Demonstrable experience designing high-quality software solutions aligned with business needs and timelines. Ability to confidently present solution architecture and strategy to IT and business audiences. Ability to understand complex concepts and communicate them simply to business and technology stakeholders. Experience designing/implementing solutions, including: Product Inventory Management Platforms (Tour Operator Platforms desirable) Order Management Platforms Caching & Search Solutions Product/content Ingestion, Curation and Publishing solutions (desirable) Cloud Native Solutions Integration Service architectures and patterns Experience of building internal and external 3rd party integration architectures Experience of Event Driven Architecture & API Design Practical experience delivering iterative architecture solutions in an agile project delivery model Understanding of the design approach to achieving functional and non-functional requirements Software Development path background desirable with evidence of previous programming language experience Travel, Retail or Ecommerce Industry domain knowledge desirable but not essential Innovation & Change - identifies opportunities to improve, influences others, and navigates ambiguity with a clear path forward. Ownership & Delivery - delivers consistently, communicates objectives, monitors results, and resolves root causes. Building Relationships - effective communication, trust-building, and collaboration across teams. What we can offer you Up to 30% bonus 25 days holiday BAYE, SAYE and Performance share schemes Life Assurance Flexible benefits package Excellent staff travel benefits Location & Hours of Work This full-time role will be based in Luton with some Hybrid working. The role will also require some occasional travel. Requirements of the Role . Business Area Technology - easyJet holidays Primary Location
02/02/2026
Full time
Overview Enterprise Architect - Product Inventory Domain (16643) Job purpose As the Enterprise Architect for the Product Inventory Domain, you will be responsible for the Product & Inventory technology architecture strategy for easyJet Holidays, ensuring alignment with wider technology and business strategy. You will work with the business on ideation and discovery for key strategic Commercial initiatives and provide high level solution design for those initiatives. The role involves collaboration with domain solution architects and the wider architecture team, all reporting to the Head of Architecture. The Product and Inventory domain covers backend reservation systems, inventory setup and maintenance (e.g., accommodation onboarding), and integration with 3rd party product inventory providers including accommodation, flight, and transfer systems. You will be accountable for all product inventory domain architecture artefacts and ensure designs and decisions are governed according to the practice. You will guide solution architects in iterative product solution design. Job Accountabilities Lead the technology strategy for end-to-end solutions in the Product Inventory Domain, working with technical leads and the Head of Architecture to drive long-term architectural direction. Collaborate with Business functions in discovery for new ideas and major Holidays initiatives, providing conceptual solutions, options analysis, estimation, and guidance to realise the initiative vision. Produce high-quality, comprehensive solution designs artefacts for key strategic initiatives, balancing functional and non-functional drivers, understanding risk, and aligning to IT strategy and standards within an agile, product-based framework. Contribute to continuous improvement of the architecture practice, maintaining views of evolving Product & Inventory technology landscape, identifying patterns and standards, and ensuring artefacts and decisions are well documented and governed. Key Skills & Qualifications Experience of pragmatic architecture governance, design governance, production of enterprise artefacts, and maintenance of architecture viewpoints. Demonstrable experience leading major initiative discovery and experimentation. Demonstrable experience designing high-quality software solutions aligned with business needs and timelines. Ability to confidently present solution architecture and strategy to IT and business audiences. Ability to understand complex concepts and communicate them simply to business and technology stakeholders. Experience designing/implementing solutions, including: Product Inventory Management Platforms (Tour Operator Platforms desirable) Order Management Platforms Caching & Search Solutions Product/content Ingestion, Curation and Publishing solutions (desirable) Cloud Native Solutions Integration Service architectures and patterns Experience of building internal and external 3rd party integration architectures Experience of Event Driven Architecture & API Design Practical experience delivering iterative architecture solutions in an agile project delivery model Understanding of the design approach to achieving functional and non-functional requirements Software Development path background desirable with evidence of previous programming language experience Travel, Retail or Ecommerce Industry domain knowledge desirable but not essential Innovation & Change - identifies opportunities to improve, influences others, and navigates ambiguity with a clear path forward. Ownership & Delivery - delivers consistently, communicates objectives, monitors results, and resolves root causes. Building Relationships - effective communication, trust-building, and collaboration across teams. What we can offer you Up to 30% bonus 25 days holiday BAYE, SAYE and Performance share schemes Life Assurance Flexible benefits package Excellent staff travel benefits Location & Hours of Work This full-time role will be based in Luton with some Hybrid working. The role will also require some occasional travel. Requirements of the Role . Business Area Technology - easyJet holidays Primary Location
Enterprise Architect - Product Inventory Domain
easyJet Airline Company PLC
Overview Enterprise Architect - Product Inventory Domain (16643) Job purpose As the Enterprise Architect for the Product Inventory Domain, you will be responsible for the Product & Inventory technology architecture strategy for easyJet Holidays, ensuring alignment with wider technology and business strategy. You will work with the business on ideation and discovery for key strategic Commercial initiatives and provide high level solution design for those initiatives. The role involves collaboration with domain solution architects and the wider architecture team, all reporting to the Head of Architecture. The Product and Inventory domain covers backend reservation systems, inventory setup and maintenance (e.g., accommodation onboarding), and integration with 3rd party product inventory providers including accommodation, flight, and transfer systems. You will be accountable for all product inventory domain architecture artefacts and ensure designs and decisions are governed according to the practice. You will guide solution architects in iterative product solution design. Job Accountabilities Lead the technology strategy for end-to-end solutions in the Product Inventory Domain, working with technical leads and the Head of Architecture to drive long-term architectural direction. Collaborate with Business functions in discovery for new ideas and major Holidays initiatives, providing conceptual solutions, options analysis, estimation, and guidance to realise the initiative vision. Produce high-quality, comprehensive solution designs artefacts for key strategic initiatives, balancing functional and non-functional drivers, understanding risk, and aligning to IT strategy and standards within an agile, product-based framework. Contribute to continuous improvement of the architecture practice, maintaining views of evolving Product & Inventory technology landscape, identifying patterns and standards, and ensuring artefacts and decisions are well documented and governed. Key Skills & Qualifications Experience of pragmatic architecture governance, design governance, production of enterprise artefacts, and maintenance of architecture viewpoints. Demonstrable experience leading major initiative discovery and experimentation. Demonstrable experience designing high-quality software solutions aligned with business needs and timelines. Ability to confidently present solution architecture and strategy to IT and business audiences. Ability to understand complex concepts and communicate them simply to business and technology stakeholders. Experience designing/implementing solutions, including: Product Inventory Management Platforms (Tour Operator Platforms desirable) Order Management Platforms Caching & Search Solutions Product/content Ingestion, Curation and Publishing solutions (desirable) Cloud Native Solutions Integration Service architectures and patterns Experience of building internal and external 3rd party integration architectures Experience of Event Driven Architecture & API Design Practical experience delivering iterative architecture solutions in an agile project delivery model Understanding of the design approach to achieving functional and non-functional requirements Software Development path background desirable with evidence of previous programming language experience Travel, Retail or Ecommerce Industry domain knowledge desirable but not essential Innovation & Change - identifies opportunities to improve, influences others, and navigates ambiguity with a clear path forward. Ownership & Delivery - delivers consistently, communicates objectives, monitors results, and resolves root causes. Building Relationships - effective communication, trust-building, and collaboration across teams. What we can offer you Up to 30% bonus 25 days holiday BAYE, SAYE and Performance share schemes Life Assurance Flexible benefits package Excellent staff travel benefits Location & Hours of Work This full-time role will be based in Luton with some Hybrid working. The role will also require some occasional travel. Requirements of the Role . Business Area Technology - easyJet holidays Primary Location
02/02/2026
Full time
Overview Enterprise Architect - Product Inventory Domain (16643) Job purpose As the Enterprise Architect for the Product Inventory Domain, you will be responsible for the Product & Inventory technology architecture strategy for easyJet Holidays, ensuring alignment with wider technology and business strategy. You will work with the business on ideation and discovery for key strategic Commercial initiatives and provide high level solution design for those initiatives. The role involves collaboration with domain solution architects and the wider architecture team, all reporting to the Head of Architecture. The Product and Inventory domain covers backend reservation systems, inventory setup and maintenance (e.g., accommodation onboarding), and integration with 3rd party product inventory providers including accommodation, flight, and transfer systems. You will be accountable for all product inventory domain architecture artefacts and ensure designs and decisions are governed according to the practice. You will guide solution architects in iterative product solution design. Job Accountabilities Lead the technology strategy for end-to-end solutions in the Product Inventory Domain, working with technical leads and the Head of Architecture to drive long-term architectural direction. Collaborate with Business functions in discovery for new ideas and major Holidays initiatives, providing conceptual solutions, options analysis, estimation, and guidance to realise the initiative vision. Produce high-quality, comprehensive solution designs artefacts for key strategic initiatives, balancing functional and non-functional drivers, understanding risk, and aligning to IT strategy and standards within an agile, product-based framework. Contribute to continuous improvement of the architecture practice, maintaining views of evolving Product & Inventory technology landscape, identifying patterns and standards, and ensuring artefacts and decisions are well documented and governed. Key Skills & Qualifications Experience of pragmatic architecture governance, design governance, production of enterprise artefacts, and maintenance of architecture viewpoints. Demonstrable experience leading major initiative discovery and experimentation. Demonstrable experience designing high-quality software solutions aligned with business needs and timelines. Ability to confidently present solution architecture and strategy to IT and business audiences. Ability to understand complex concepts and communicate them simply to business and technology stakeholders. Experience designing/implementing solutions, including: Product Inventory Management Platforms (Tour Operator Platforms desirable) Order Management Platforms Caching & Search Solutions Product/content Ingestion, Curation and Publishing solutions (desirable) Cloud Native Solutions Integration Service architectures and patterns Experience of building internal and external 3rd party integration architectures Experience of Event Driven Architecture & API Design Practical experience delivering iterative architecture solutions in an agile project delivery model Understanding of the design approach to achieving functional and non-functional requirements Software Development path background desirable with evidence of previous programming language experience Travel, Retail or Ecommerce Industry domain knowledge desirable but not essential Innovation & Change - identifies opportunities to improve, influences others, and navigates ambiguity with a clear path forward. Ownership & Delivery - delivers consistently, communicates objectives, monitors results, and resolves root causes. Building Relationships - effective communication, trust-building, and collaboration across teams. What we can offer you Up to 30% bonus 25 days holiday BAYE, SAYE and Performance share schemes Life Assurance Flexible benefits package Excellent staff travel benefits Location & Hours of Work This full-time role will be based in Luton with some Hybrid working. The role will also require some occasional travel. Requirements of the Role . Business Area Technology - easyJet holidays Primary Location
Senior Tech Lead - GoCompare
Future PLC Newport, UK
About the Team We are Future, a global multi-platform media company with big ambitions and the talent to bring them to life. Together, we connect people to their passions through the high-quality content we create and the innovative technology we pioneer. We’re the name behind award-winning brands in specialist sectors like technology, gaming & entertainment, music, creative & photography, field sports, knowledge and home interest. Specialists in our field and passionate about what we do, every year we attract millions of consumers to our websites, magazines, events and social spaces. Future’s Technology department has been instrumental in the company’s success over recent years and is vital to Future’s continued growth and disruption of the digital publishing industry. As part of the strategy around GoComapre’s acquisition by Future we’re putting in a technology roadmap for re-platforming our domain around an API first, cloud based serverless architecture to become the PCW leading service. This is part of our plan to broaden the scope from the GoCompare brand. Job Purpose As Senior Tech Lead, you will be part of the senior engineering leadership team. Your focus will be on leading a team of engineers and working within the wider engineering team to drive the technical direction of the platform. In this role Tech Leads and Senior Engineers will look to your experience and detailed product knowledge to progress our re-platforming in a meaningful and quantifiable way. In this role you will be jointly responsible for the direction of the architecture, software delivery and leadership of the team. You will be influential in the wider team decision making for resolving technical debt & solution delivery. You will set requirements which determine the technical specification of new features and services, as well as ensure that the team consistently maintain and improve the existing codebase. You will ensure that Tech Leads and Senior Engineers make changes that are scalable, tested, and well structured in line with industry best practices. Working closely with Engineering, Product, UX, QA and Project Management (PMO) teams you will ensure that all applications integrate reliably. You will also be expected to lead & mentor Tech Leads, Junior, Mid and Senior Engineers contributing to their growth, knowledge, and reviewing their code. In this role your time will be predominantly scoping, meeting and guiding your teams. The role will be split 80:20, where there is an expectation that for 20% of your time you are able to be hands-on, contributing to the re-platforming of our service. You will be responsible for delegating tasks and working with other Tech Leads & Senior Tech Leads / Directors of Engineering to ensure that the business / tech priorities are respected. Key Responsibilities In collaboration with other Senior Tech Leads, Tech Leads and Engineers you will ensure your team’s code is well scoped, monitored, documented and testable. You will be responsible for the code quality of your teams, ensuring that the code is maintainable and extensible. You will lead on tracing bugs across the stack and ensuring that suitable tests are set up to avoid future regressions. And work closely with QA to ensure the risk of future occurrences is reduced. You will work to guide your teams in how to review both their own code and other developers’ before it goes through a final QA process and into production. You will ensure that your team members are working efficiently and delivering to the best of their ability. You will communicate effectively with the wider business and be able to critically assess product requirements and solutions. You will keep up to date with the latest approaches to development and be able to argue for appropriate technology to be added to the stack. You will participate in regular hack days, using cutting edge tech to prototype innovative approaches to business/technical goals. As the senior tech lead you are required to support and help develop more junior members of staff both via code review/direction and mentoring. You will nurture the professional development of your team members through regular 1:1s, coaching and supporting their career development. You will line manage Tech Lead(s) and will ultimately be responsible for the underlying teams under the direction of the Tech Lead(s) within your remit.
09/11/2021
Full time
About the Team We are Future, a global multi-platform media company with big ambitions and the talent to bring them to life. Together, we connect people to their passions through the high-quality content we create and the innovative technology we pioneer. We’re the name behind award-winning brands in specialist sectors like technology, gaming & entertainment, music, creative & photography, field sports, knowledge and home interest. Specialists in our field and passionate about what we do, every year we attract millions of consumers to our websites, magazines, events and social spaces. Future’s Technology department has been instrumental in the company’s success over recent years and is vital to Future’s continued growth and disruption of the digital publishing industry. As part of the strategy around GoComapre’s acquisition by Future we’re putting in a technology roadmap for re-platforming our domain around an API first, cloud based serverless architecture to become the PCW leading service. This is part of our plan to broaden the scope from the GoCompare brand. Job Purpose As Senior Tech Lead, you will be part of the senior engineering leadership team. Your focus will be on leading a team of engineers and working within the wider engineering team to drive the technical direction of the platform. In this role Tech Leads and Senior Engineers will look to your experience and detailed product knowledge to progress our re-platforming in a meaningful and quantifiable way. In this role you will be jointly responsible for the direction of the architecture, software delivery and leadership of the team. You will be influential in the wider team decision making for resolving technical debt & solution delivery. You will set requirements which determine the technical specification of new features and services, as well as ensure that the team consistently maintain and improve the existing codebase. You will ensure that Tech Leads and Senior Engineers make changes that are scalable, tested, and well structured in line with industry best practices. Working closely with Engineering, Product, UX, QA and Project Management (PMO) teams you will ensure that all applications integrate reliably. You will also be expected to lead & mentor Tech Leads, Junior, Mid and Senior Engineers contributing to their growth, knowledge, and reviewing their code. In this role your time will be predominantly scoping, meeting and guiding your teams. The role will be split 80:20, where there is an expectation that for 20% of your time you are able to be hands-on, contributing to the re-platforming of our service. You will be responsible for delegating tasks and working with other Tech Leads & Senior Tech Leads / Directors of Engineering to ensure that the business / tech priorities are respected. Key Responsibilities In collaboration with other Senior Tech Leads, Tech Leads and Engineers you will ensure your team’s code is well scoped, monitored, documented and testable. You will be responsible for the code quality of your teams, ensuring that the code is maintainable and extensible. You will lead on tracing bugs across the stack and ensuring that suitable tests are set up to avoid future regressions. And work closely with QA to ensure the risk of future occurrences is reduced. You will work to guide your teams in how to review both their own code and other developers’ before it goes through a final QA process and into production. You will ensure that your team members are working efficiently and delivering to the best of their ability. You will communicate effectively with the wider business and be able to critically assess product requirements and solutions. You will keep up to date with the latest approaches to development and be able to argue for appropriate technology to be added to the stack. You will participate in regular hack days, using cutting edge tech to prototype innovative approaches to business/technical goals. As the senior tech lead you are required to support and help develop more junior members of staff both via code review/direction and mentoring. You will nurture the professional development of your team members through regular 1:1s, coaching and supporting their career development. You will line manage Tech Lead(s) and will ultimately be responsible for the underlying teams under the direction of the Tech Lead(s) within your remit.
Cambridge Assessment
Solution Architect
Cambridge Assessment Cambridge, Cambridgeshire
What it's about Cambridge Assessment has an exciting opportunity for a Solution Architect to be part of its architecture team. The architecture function provides the designs context, decision making frameworks, guidance and governance that enables Cambridge Assessment to make the best decisions about enterprise and solution architecture to support the business. What you'll be doing As a Solution Architect you will work with business, domain and enterprise architects, business analysts, business leaders and other subject matter expert colleagues to advise, analyse, design and document architectural solutions at all levels of detail. Working as part of the architecture team to develop and enhance the architectural framework, governance processes and architecture repository you will support continual improvement and engagement of the enterprise and solution architecture practice across Cambridge Assessment. Addressing all the pertinent concerns of project and programme stakeholders, you will produce consistent and relevant artefacts and deliverables to illustrate design and providing collaborative support and guidance to other project and practice team members. Key responsibilities: Advise, analyse, design and document architecture solutions meeting functional and non-functional requirements; take ownership of the end to end architectural designs; ensure compliance of solutions to architectural standards Collaborate with Information/Data, Security, Infrastructure architecture to produce optimal designs Use architectural expertise to propose designs and work with key stake holders as necessary to support approval of architectural output Support key stakeholders in decision making process Offer advice and support for technical and business colleagues when required Provide thought leadership in digital trends and technologies Design data management processes following principles and contribute to data principles and information modelling What we're looking for A highly experienced IT professional who can work across various disciplines, business units, and architecture domains to support change initiatives. This role requires a considerable ability to handle complexity; self-management and emotional intelligence skills are crucial, as is the ability to remain objective and to influence and advise others on the strength of excellent evidence-based analysis and communication. The Solution Architect will need to be comfortable working with partial or assumed information, high levels of change, often fluid requirements and multiple projects concurrently, all of which may have dynamic priorities that the job holder will need to respond to. Communication and collaboration are key factors to the successful role of Solution Architect. The mix of good technical skill and the ability to collaborate are crucial to the job. S/he should be viewed as a trusted advisor in the enterprise by the IT organization, the clients they serve, and senior leaders. Qualifications (desirable) Enterprise Architecture framework certification Degree or higher degree Supporting industry recognised certifications such as ITIL, Prince etc. BCS Membership Industry recognised technical certifications Any data engineering or data architecture related certification Skills The candidate will be an all-rounder with broad knowledge across all technical and non-technical aspects of solution architecture and design, including maintaining an awareness of wider industry trends Suitable candidates are likely to have senior software design, engineering or systems analysis backgrounds, possibly in a leadership role, and be able to demonstrate significant customer-facing experience and architecture/design responsibility in their recent career The successful candidate will have wide ranging experience of solutions design in a broad range of technical environments together with skills in requirements validation, process modelling, systems analysis, and in-depth knowledge of common architectural styles and patterns. We are seeking expertise in service-oriented and event-driven architectures and designing for security and scalability Ability to communicate with technical and non-technical audience; ability to communicate contextual narrative using story telling techniques Passionate about driving innovation, provide thought leadership, hunger for learning and critical thinking skills to find innovative solutions Experience in data management, data modelling and model-based insights to create value and drive effective decision making Experience Good experience working in an enterprise architecture & design team Good experience working in heterogeneous technology environments Good experience working with business stakeholders understanding and helping them to develop their needs Ability to work creatively and analytically to solve business problems Ability to work effectively in a team environment and lead cross-functional teams Behaviours Exceptional interpersonal skills, including teamwork, facilitation and negotiation with the ability to communicate very technical issues plainly to non-technical audience. Who we are? At Cambridge Assessment, our purpose is to help learners demonstrate and fulfil their potential. We care about making a difference for every learner. As a department of the University of Cambridge, we provide education programmes and exams in over 170 countries, offering global recognition. We unlock the power of education for millions of learners of all ages and abilities. Benefits In addition to a competitive salary, we offer a comprehensive package of benefits to help with your life both inside and outside of work: Generous contributory pension 28 days annual leave, plus bank holidays Annual performance related bonus and increases (discretionary) Enhanced maternity/paternity pay# Employee discount and cash back scheme at 2,500 retailers Cycle scheme Season Ticket Loan Subsidised staff restaurants Support for professional qualifications Discounted access to the University of Cambridge Sport Centre, along with various other local gyms. We know that diversity of thinking, backgrounds and approaches lead to innovation and create an atmosphere where everyone's contribution is valued. As well as wanting to create diverse teams, we also value diversity in the way our people approach their work. Work/life balance is important to us at Cambridge Assessment and we offer our colleagues a range of flexible working options according to the needs of the business and the individual, so please let us know of any flexible working requirements when applying and we can see how we can support you. The closing date for receipt of applications is 29 March 2021 and interviews will be held during April 2021. To apply, please upload your CV and covering letter on our website by clicking the APPLY button. If you're successful at interview stage we will ask you to undergo background screening (carried out by Credence Background Screening Ltd), to ensure that all information provided to us is accurate. We wish you all the very best with your application. The University of Cambridge will be bringing together its publishing and assessment operations to create a single organisation from 1 August 2021. Cambridge University Press and Cambridge Assessment publish and create world-leading content and examinations that are used across more than 170 countries. The move is in response to a growing desire from learners, teachers and researchers to engage with Cambridge in a joined up digital way, and the demand for innovative products that combine expertise in learning and assessment. The new organisation will have the capabilities to provide world leading assessment, learning and academic research offerings globally, under the Cambridge brand and backed by first class teaching and research departments. CAMBRIDGE ASSESSMENT IS AN EQUAL OPPORTUNITIES EMPLOYER
18/03/2021
Full time
What it's about Cambridge Assessment has an exciting opportunity for a Solution Architect to be part of its architecture team. The architecture function provides the designs context, decision making frameworks, guidance and governance that enables Cambridge Assessment to make the best decisions about enterprise and solution architecture to support the business. What you'll be doing As a Solution Architect you will work with business, domain and enterprise architects, business analysts, business leaders and other subject matter expert colleagues to advise, analyse, design and document architectural solutions at all levels of detail. Working as part of the architecture team to develop and enhance the architectural framework, governance processes and architecture repository you will support continual improvement and engagement of the enterprise and solution architecture practice across Cambridge Assessment. Addressing all the pertinent concerns of project and programme stakeholders, you will produce consistent and relevant artefacts and deliverables to illustrate design and providing collaborative support and guidance to other project and practice team members. Key responsibilities: Advise, analyse, design and document architecture solutions meeting functional and non-functional requirements; take ownership of the end to end architectural designs; ensure compliance of solutions to architectural standards Collaborate with Information/Data, Security, Infrastructure architecture to produce optimal designs Use architectural expertise to propose designs and work with key stake holders as necessary to support approval of architectural output Support key stakeholders in decision making process Offer advice and support for technical and business colleagues when required Provide thought leadership in digital trends and technologies Design data management processes following principles and contribute to data principles and information modelling What we're looking for A highly experienced IT professional who can work across various disciplines, business units, and architecture domains to support change initiatives. This role requires a considerable ability to handle complexity; self-management and emotional intelligence skills are crucial, as is the ability to remain objective and to influence and advise others on the strength of excellent evidence-based analysis and communication. The Solution Architect will need to be comfortable working with partial or assumed information, high levels of change, often fluid requirements and multiple projects concurrently, all of which may have dynamic priorities that the job holder will need to respond to. Communication and collaboration are key factors to the successful role of Solution Architect. The mix of good technical skill and the ability to collaborate are crucial to the job. S/he should be viewed as a trusted advisor in the enterprise by the IT organization, the clients they serve, and senior leaders. Qualifications (desirable) Enterprise Architecture framework certification Degree or higher degree Supporting industry recognised certifications such as ITIL, Prince etc. BCS Membership Industry recognised technical certifications Any data engineering or data architecture related certification Skills The candidate will be an all-rounder with broad knowledge across all technical and non-technical aspects of solution architecture and design, including maintaining an awareness of wider industry trends Suitable candidates are likely to have senior software design, engineering or systems analysis backgrounds, possibly in a leadership role, and be able to demonstrate significant customer-facing experience and architecture/design responsibility in their recent career The successful candidate will have wide ranging experience of solutions design in a broad range of technical environments together with skills in requirements validation, process modelling, systems analysis, and in-depth knowledge of common architectural styles and patterns. We are seeking expertise in service-oriented and event-driven architectures and designing for security and scalability Ability to communicate with technical and non-technical audience; ability to communicate contextual narrative using story telling techniques Passionate about driving innovation, provide thought leadership, hunger for learning and critical thinking skills to find innovative solutions Experience in data management, data modelling and model-based insights to create value and drive effective decision making Experience Good experience working in an enterprise architecture & design team Good experience working in heterogeneous technology environments Good experience working with business stakeholders understanding and helping them to develop their needs Ability to work creatively and analytically to solve business problems Ability to work effectively in a team environment and lead cross-functional teams Behaviours Exceptional interpersonal skills, including teamwork, facilitation and negotiation with the ability to communicate very technical issues plainly to non-technical audience. Who we are? At Cambridge Assessment, our purpose is to help learners demonstrate and fulfil their potential. We care about making a difference for every learner. As a department of the University of Cambridge, we provide education programmes and exams in over 170 countries, offering global recognition. We unlock the power of education for millions of learners of all ages and abilities. Benefits In addition to a competitive salary, we offer a comprehensive package of benefits to help with your life both inside and outside of work: Generous contributory pension 28 days annual leave, plus bank holidays Annual performance related bonus and increases (discretionary) Enhanced maternity/paternity pay# Employee discount and cash back scheme at 2,500 retailers Cycle scheme Season Ticket Loan Subsidised staff restaurants Support for professional qualifications Discounted access to the University of Cambridge Sport Centre, along with various other local gyms. We know that diversity of thinking, backgrounds and approaches lead to innovation and create an atmosphere where everyone's contribution is valued. As well as wanting to create diverse teams, we also value diversity in the way our people approach their work. Work/life balance is important to us at Cambridge Assessment and we offer our colleagues a range of flexible working options according to the needs of the business and the individual, so please let us know of any flexible working requirements when applying and we can see how we can support you. The closing date for receipt of applications is 29 March 2021 and interviews will be held during April 2021. To apply, please upload your CV and covering letter on our website by clicking the APPLY button. If you're successful at interview stage we will ask you to undergo background screening (carried out by Credence Background Screening Ltd), to ensure that all information provided to us is accurate. We wish you all the very best with your application. The University of Cambridge will be bringing together its publishing and assessment operations to create a single organisation from 1 August 2021. Cambridge University Press and Cambridge Assessment publish and create world-leading content and examinations that are used across more than 170 countries. The move is in response to a growing desire from learners, teachers and researchers to engage with Cambridge in a joined up digital way, and the demand for innovative products that combine expertise in learning and assessment. The new organisation will have the capabilities to provide world leading assessment, learning and academic research offerings globally, under the Cambridge brand and backed by first class teaching and research departments. CAMBRIDGE ASSESSMENT IS AN EQUAL OPPORTUNITIES EMPLOYER

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