Chambers and Partners

Overview We are seeking a highly skilled Data Analyst to play a pivotal role in transforming Chambers into a truly data-driven insights business. Working within a dedicated data team alongside analysts, data engineers and AI engineers, you will translate business needs into high-impact analytical reports, solutions and products. Success in this role requires curiosity, motivation and a strong focus on delivering value. You will be comfortable working with data quality principles and actively contributing to data quality initiatives across the organisation, reflecting Chambers' commitment to data excellence. This role is London-based, with a minimum of two days per week in the office. 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. Applicants who identify as Disabled and/or Neurodiverse will be entitled to an interview if they meet the minimum criteria as specified in the Job Description, additionally we will offer reasonable adjustments to those who require them. Some examples of reasonable adjustments are extra time in assessments, video interviews to combat travel-based issues and advice on expected interview topics/questions. Main Duties and Responsibilities Analyse complex datasets to expose insights using a skillset composed of SQL, Python, Databricks and visualisation tools (Power BI, Tableau). Investigate and reconcile data across operational databases, the data lake, and the lakehouse to support business and data governance needs. Develop and maintain business intelligence dashboards across various domains Collaborate closely with stakeholders to translate business requirements into effective solutions, maintaining continuous feedback loops. Data exploration and profiling; you should be comfortable combining new datasets to build measures and dig for insights across various data sources. Conduct data quality analysis and build quality metrics in line with our data excellence strategy and business requirements. Work closely with data engineers, data analysts, data governance and subject matter experts to resolve issues and produce clean documentation to foster knowledge transfer. Skills and Experience Extensive experience using visualisation tools (Power BI, Tableau) with qualifications preferable Bachelor's or master's degree in a STEM subject (Mathematics, Computer Science, Data Science etc) or equivalent experience Experience working in Agile environments (using Jira and other related tools) Strong problem-solving skills and the ability to navigate complex data landscapes Experience transforming data into insights and decision making Data analytics projects and certifications (desirable) Person Specification Comfortable working in a fast-paced environment whilst delivering multiple projects Independent and proactive mindset as you will need to be comfortable working cross-functionally and seeking answers with little guidance Commercial thinker who can link projects and opportunities to Chambers' objectives and strategy The ability to transform data into narrative, you will often be working with non-technical stakeholders who will need to be taken on data-driven journeys Clear communicator who can take technical detail and make it accessible to a range of audiences

A leading insights firm in Greater London is looking for a Data Analyst to transform data into actionable insights. This role involves analysing complex datasets, providing business intelligence through dashboards using tools like SQL and Power BI, and collaborating with teams to align data solutions with business needs. Ideal candidates will have a STEM degree and experience in data analytics and Agile environments. Exceptional problem-solving and communication skills are essential for success in this dynamic environment.

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 Vacancy Name Data Governance Lead Vacancy No Vacancy No VN768 Location Location London Employment Type Employment Type Perm Basis Basis Full Time Fixed Term Duration Overview We are seeking an experienced Data Governance Lead to join Chambers and Partners, the world's leading provider of legal research and analysis. Reporting to the Chief Data Officer, you will play a pivotal role in maximizing the quality, usability, and commercial value of our strategic data assets, whilst ensuring regulatory compliance. You will lead the governance programme implementing robust governance frameworks, ensuring data quality integrity, compliance and overseeing data stewardship and metadata management activities. Additionally, you may support multiple high-impact initiatives focused on modernising our data platform and developing advanced ML/AI capabilities. This role offers the opportunity to shape the future of legal intelligence by managing the delivery of comprehensive, actionable, and trusted data solutions that serve the global legal community. Main Duties and Responsibilities Data Governance and Quality Lead and manage the Data Governance Operating Model, ensuring alignment to business objectives and regulatory requirements Establish a data governance roadmap driving improvements to data governance framework, processes and policies. Accountable for managing data compliance at Chambers, in line with data protection legislation and regulatory requirements. Liaise with Chambers DPO as necessary Ensure data dictionary and glossary are up to date, data lineage, definitions and business rules are well defined, and that data assets are accessible in the data catalogue. Lead the Implementation of the data catalogue strategy using Purview Coordinate with cross-functional teams to drive data governance and quality initiatives, ensuring alignment and adherence to data governance principles Develop and maintain a strategic data roadmap that aligns with both internal and external product objectives Identify and assess data-related risks and develop mitigation strategies. Define and monitor data governance metrics and data quality metrics. Own, develop and implement data quality strategies to ensure the accuracy, consistency, and reliability of data assets. Lead targeted data quality assessments and improvement initiatives across the organization Define and enforce data standards, guidelines, and best practices. Oversee data stewardship activities, including data issue resolution, data lineage, and data ownership assignments. Data Initiatives Lead the selection, proof of concept, and implementation of Master Data Management (MDM) solutions while managing vendor relationships and budget allocations Contribute to the successful delivery of our new Modern Data Platform initiative, utilizing Azure Databricks with medallion architecture to transform our data capabilities Data Ambassador Stay up to date with industry trends, regulations, and emerging technologies related to data governance. Ensure all staff are trained in regulatory compliance Collaborate with leadership to articulate the value of data governance to stakeholders. Provide clients with information regarding Chambers data governance, as applicable General Management Provide on-going leadership, coaching, mentoring and other development opportunities for the team members; conduct performance reviews with direct reports Skills and Experience Must Have 5+ years' experience in data Governance / data quality roles or similar, with proven delivery experience Experience in implementing data governance frameworks, policies, procedures and ensuring regulatory compliance Demonstrable experience developing and executing strategic data roadmaps Strong understanding of data privacy, regulatory standards and security best practices Strong stakeholder management skills, especially within the data Governance domain Strong expertise in managing cross-functional teams and coordinating with technical and business stakeholders Experience in building and curating data dictionaries and other metadata resources to bridge the gap between the technical analytics and the business source data Demonstrable expertise in data quality management, ETL processes, and analytics Proven track record in data quality analysis and delivering data-driven insights to stakeholders Experience in being a change leader and cultivating a data-driven culture Proficiency in Agile/Programme Management, Data Quality, Stakeholder Management, Communications & Training Good knowledge of Master Data Management, Data Security, Data Sovereignty, Risk Management Nice to Have Knowledge of legal industry data structures and terminology Familiarity with Azure Databricks and cloud data platforms Experience in industries with high data and analytics needs Previous experience with Master Data Management implementations Product management experience Experience with Power BI or similar visualization tools Understanding of data pipelines Good exposure to Data Warehouse and Data Lake technologies ideally around Azure Knowledge of Azure Purview. Person Specification Highly numerate with strong analytical capabilities Exceptional attention to detail and organizational skills Natural leader with the ability to influence and drive consensus across diverse stakeholder groups Excellent communication skills with ability to translate complex technical concepts for various audiences Self-starter mentality with proven ability to work autonomously Strategic thinker who can balance immediate needs with long-term objectives Proactive problem-solver with a continuous improvement mindset Strong commercial acumen with experience in vendor management Resilient under pressure with ability to manage competing priorities effectively Applications Close Date 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.

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 Vacancy Name Front End Engineer Vacancy No Vacancy No VN687 Location Location London Employment Type Employment Type Perm Basis Basis Full Time Fixed Term Duration Overview To design, build and deploy high quality solutions across Chambers products, platforms and applications, ensuring they meet engineering and QA standards. To act as a point of expertise and ensuring standards and performance are met across the team and across projects. Main Duties and Responsibilities Be part of a cross functional team and effectively create, optimise and maintain automated systems and processes across a given project(s) or technical domain. Coordinate engineering resources ensuring adherence to standards and effective delivery. Provide mentorship and guidance where required. Contribute to the continuous improvement of the team Contribute to the team's ability to make and deliver on their commitments Innovate and experiment with technology to deliver real business benefits. Regularly launch products and services based on your work and be an integral part of making these a success. Influence and challenge the technology team and stakeholders to understand the benefits, pros and cons of various technical options. Promote an innovative thinking process and encourage it in others. Assist in planning and undertake technical work on projects. Contribute in the development of technical specifications and architecture Test and debug various .NET applications Review and refactor code Deploy fully functional applications Document development and operational procedures Working within the agile framework at Chambers Skills and Experience 5+ years of Solid Front-End development experience predominately on Angular. Experience with CSS like Sass and LESS Solid understanding of frameworks such as Bootstrap 4 and Angular Material Solid experience using Angular, RxJs and NgRx Experience with NodeJS, Grunt, NPM Extensive experience consuming RESTful APIs in your applications Previous experience of building mobile and responsive design applications Experienced designing scalable software using recognised enterprise patterns Strong knowledge of full Software Development Life Cycle (SDLC) Good knowledge of cloud-based infrastructure (Azure/AWS) Strong at problem solving and able to design solutions, options and recommendations that meet a range of sometimes conflicting requirements. Able to implement key architectural outcomes, such as reusability, performance, separation of concerns, quality and integrity. Person Specification A passionate software engineer with a history of driving his or her own technical and professional development. Worked in the media, publishing, research or a similar consumer focused industry. (Highly Desirable) An expert, with specific skills and knowledge relating to at least two of the following business domains: Web technologies, including content management Identity and Access control, Subscription mgmt. and payment platforms Data applications, workflows and landscapes Communication - Able to clearly communicate complex technical subjects to business and technology stakeholders. 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 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. 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.

If you are unable to apply via the portal, please email your CV and Cover Letter to us directly to QA Automation Tester Location: London Employment Type: Permanent Basis: Full Time Vacancy No: VN721 Overview This is a permanent role QA Automation tester for Improve and Market pulse teams. Main Duties and Responsibilities Test Automation of backend and UI Design test cases and automate regression tests. Skills and Experience Good knowledge and implementation skills on Test automation. Working experience of Selenium/Cypress. Good knowledge of SDLC processes. Strong communication skills. Person Specification A valuable team player with strong communication skills. A proactive learner with good problem solving skills. 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.

Contact 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 Vacancy Name Senior Data Architect Vacancy No Vacancy No VN765 Location Location London Employment Type Employment Type Perm Basis Basis Full Time Fixed Term Duration Overview Join Us as a Senior Data Architect - Shape the Future of Data at Chambers and Partners. We're seeking a seasoned Data Architect to take a leading role in designing and evolving the backbone of our data ecosystem. This is a strategic position where your deep technical expertise will directly influence our data architecture, from high-level conceptual models to optimised, scalable solutions. You'll drive the development and implementation of modern data systems aligned with our long-term vision-ensuring our data infrastructure is robust, future ready, and fuels real business impact. Main Duties and Responsibilities Assess database implementation procedures to ensure they comply with GDPR and data compliance Design conceptual and logical data models and flow charts Responsible for making sure systems are designed in accordance with data architecture Accountable for designing solutions that meet people, process and technology needs and provide a route from the As-Is to the To-Be. Accountable for ensuring the data platform landscape is fully understood, documented, and any risks managed Accountable for producing quality, clear and consistent outputs that are required through all the phases of a delivery. Agree and set the technical direction for the data platform landscape and solutions, for the short and long term, in collaboration with delivery and engineering teams Accountable for ensuring data solutions and data models throughout the project or product life cycle, are delivered effectively, and to agreed technical standards. Accountable for ensuring stakeholders, technology teams, third parties and vendors, are aligned to the architectural vision. Skills and Experience Extensive professional data experience Excellent communication skills and the ability to explain architectural approaches to both technical and non technical stakeholders. Extensive experience of data modelling to at least 3NF Strong knowledge of database structure, systems and data mining Experienced in Master Data Management (MDM), data cataloguing, and managing data lineage Profound understanding of Microsoft SQL Server and skilled in designing, constructing, and maintaining data warehouses, data lakes, and lakehouses (preferably utilising Databricks). Experienced with structured and unstructured datasets, capable of designing various architectural solutions including data applications and integration systems. Comprehensive experience in the technology delivery lifecycle from inception to maintenance and delivery. Developed architecture in a Agile environment and familiar with methodologies like SCRUM, PRINCE2 and Lean. Strong problem solving skills, able to design solutions that address conflicting requirements and drive key architectural outcomes such as performance, quality and integrity. Passionate about emerging technologies, with a track record of leveraging them effectively. Person Specification A skilled communicator, used to working with a varied group of stakeholders to align messaging and enabling mediation well between technical teams and stakeholders Customer and data centric in your approach Proactive self starter who continuously seeks ways to improve Excellent communication and interpersonal skills, with ability to communicate complex subjects, "sell" ideas, and influence business and technology stakeholders at all levels Attention to detail, focused on the finer details that make the difference Provides thought leadership in the data domain 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.

A leading professional services firm in Greater London is seeking a detail-oriented Marketing Automation Manager to lead the marketing automation strategy. You will manage workflows in Pardot/Salesforce, develop targeted communications, and analyze campaign performance. The ideal candidate has over 5 years of experience in marketing operations, strong project management skills, and a solid understanding of Salesforce. This role offers the opportunity to collaborate across departments to enhance customer retention and maximize impact.

Overview Chambers is seeking a detail-oriented Marketing Automation Manager to lead marketing automation strategy and execution across the customer lifecycle. Reporting to the Head of Marketing Operations, you will collaborate closely with Demand Generation, Sales, and Customer Success to deliver impactful programs that drive pipeline, revenue, and retention. Equal Opportunity Statement Applicantswho identify as Disabled and/or Neurodiverse will be entitled to an interview if they meet the minimum criteria as specified in the Job Description, additionally we will offer reasonable adjustments to those who require them. Some examples of reasonable adjustments are extra time in assessments, video interviews to combat travel-based issues and advice on expected interview topics/questions. Main Duties and Responsibilities Own and manage marketing automation workflows in Pardot/Salesforce, including email campaigns, nurture programs, and lead scoring. Develop segmented, timely communications that support the sales funnel and maximise customer retention. Ensure smooth campaign execution, accurate lead routing, and reliable data flow across marketing and sales systems. Partner with Sales and Customer Success to drive MQLs and SQLs for both new business and expansion opportunities. Produce regular Salesforce and Pardot reports, tracking campaign performance, conversion metrics, and marketing impact. Analyse performance data to identify optimisation opportunities and improve operational efficiency. Collaborate with the Salesforce Administrator to maintain and enhance CRM processes supporting marketing activity. Maintain documentation and uphold best practices for marketing operations, data governance, and process consistency. Manage and support the Email Marketing Specialists. Work with the Marketing Data & Insights Manager to enhance data hygiene, refine the ideal customer profile (ICP), and strengthen segmentation for more precise targeting. Partner with the Digital Marketing Manager to integrate automation tools with the website and digital channels. Skills and Experience Strong understanding of Salesforce CRM for reporting, data management, and sales enablement. Hands-on experience with marketing automation platforms (ideally Pardot) to build, execute, and optimise campaigns. Ability to interpret data and translate insights into actionable improvements. Experience creating dynamic, multi-step nurture campaigns that drive engagement and conversion. Comfortable working with large datasets for segmentation, cleansing, and data quality improvement. Experience managing or mentoring team members is desirable. Person Specification 5+ years' experience in Marketing Operations or a related field. Excellent written and verbal communication skills with strong attention to detail. Proactive, solutions-focused mindset with a willingness to experiment and test new approaches (e.g. A/B testing). Strong understanding of Salesforce/Pardot and how data flows between marketing and sales systems. Ability to manage multiple projects and priorities in a fast-paced environment. Strong project management and cross-functional collaboration skills. Degree or relevant marketing qualification.

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 proactive Senior Full Stack Engineer with hands on experience in Angular (v15+), .NET Core (v7+), Azure, and Cosmos DB to design, build, and deploy high quality, cloud native solutions across Chambers' products, platforms, and applications. As a technical leader, you'll set and uphold engineering and QA standards, guide team performance, and deliver scalable, resilient systems that make a real impact. Main Duties and Responsibilities Bepartofacrossfunctionalteamandeffectivelycreate,optimiseandmaintainautomatedsystemsandprocessesacrossagivenproject(s)ortechnicaldomain. Coordinateengineeringresourcesensuringadherencetostandardsandeffectivedelivery.Providementorshipandguidancewhererequired. Contributetothecontinuousimprovementoftheteam Contributetotheteam'sabilitytomakeanddeliverontheircommitments Innovateandexperimentwithtechnologytodeliverrealbusinessbenefits. Regularlylaunchproductsandservicesbasedonyourworkandbeanintegralpartofmakingtheseasuccess. Promoteaninnovativethinkingprocessandencourageitinothers. Contributeinthedevelopmentoftechnicalspecificationsandarchitecture Testanddebugvarious.NETapplications Deployfullyfunctionalapplications Documentdevelopmentandoperationalprocedures WorkingwithintheagileframeworkatChambers Skills and Experience Goodexperiencewithmodernfront-endtechnologies-HTML5,CSS3,Less/Sass,TypeScript,NodeJs,Npm ProvenexperienceasaFullStackSoftwareEngineerworkingwithAzuresolutions ProvenexperiencewithSOAandmicroservicearchitecture Experienceddesigningscalablesoftwareusingrecognisedenterprisepatterns StrongknowledgeoffullSoftwareDevelopmentLifeCycle(SDLC) ThoroughunderstandingofandpracticalexperiencewithSOLIDprinciples DevelopedArchitectureinagile/iterativeenvironmentswithexperienceofmethodologiessuchasSCRUM,RUP,LeanandDSDM. Strongatproblemsolvingandabletodesignsolutions,optionsandrecommendationsthatmeetarangeofsometimesconflictingrequirements. Person Specification Apassionatesoftwareengineerwithahistoryofdrivinghisorherowntechnicalandprofessionaldevelopment. Anexpert,withspecificskillsandknowledgerelatingtoatleasttwoofthefollowingbusinessdomains: AttentiontoDetail-focusedonthefinerdetailsthatmakethedifference. DeliveryFocus-pragmaticanddriventogetsolutionslive. BecomfortableandmotivatedtodeliveronpersonalKPIs AProactiveattitude.Aself-starterwhoseeksoutopportunitiesforyourselfandyourteam. Abletobuildstrongpersonalrelationshipsandtrust. 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.

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.

If you are unable to apply via the portal, please email your CV and Cover Letter to us directly to Senior Product Manager Location: London Employment Type: Contractor, Full Time, Fixed Term • Duration: until Dec 24 • Vacancy No: VN578 Overview Extension of Adam Spokes' existing role until Dec 24 Main Duties and Responsibilities Develop a deep understanding of the Amplify area that includes My Account and Ranking Data Hub products, discover and understand user needs, highlight improvement opportunities and communicate it internally and externally Own and manage product designs activities in your product team Support the Amplify product team to prepare and deliver sprints, by creating and refining designs and other required deliverables Design and conduct user research to uncover pain points and user needs, test your hypotheses and design solutions, carry competitive analysis when needed, analyse and synthesise data and feedback (qual / quant) to inform the further developments and design of Amplify products Ideate, design and deliver fully fleshed out user experience along with relevant assets for My Account and Ranking Data Hub, enabling Chambers to hit their goals Also get familiar with the other Rank, Showcase and Amplify products in order to pick up any design work if needed Collaborate with design team and various stakeholders, facilitate ideation or alignment workshops when necessary Keep documentation of your design and user research work to help generate cohesive knowledge across the business Articulate your design decisions to key stakeholders when needed Lead, guide, support the other Amplify designer through their work on other Amplify products Ensure your designs are considered within the wider product ecosystem, that they fit and complement other work streams in other product areas, influence others designers' work in order to achieve overall UX cohesion Work closely with other members of the design team, advise, guide, share your thoughts, knowledge, work in progress, feedback on their work, be a driving force on our journey to improve cohesion over the overall Chambers product suite Key Initiatives Full product redesign of My Account application - using the latest techniques, IT and digital strategies, including UX and UI, looking at multi users permissions and functionality in line with the yearly, cyclic use of Chambers Applications through My Account Lead and contribute towards the evolution and maintenance of Chambers Design System, continue to improve how the design team creates and uses it, how we can work better with the UI development team and how it applies to Chambers products suite Design team cohesion, ways of working and practice improvements 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.

Overview We're seeking a Senior Data Scientist to lead the development of advanced analytics and AI/ML solutions that unlock real value across our business. This is a contract role for 6 months. In this contract role, you'll work with proprietary and B2B research datasets to design, deliver, and scale data-driven products. Collaborating closely with teams in Product, Research, and Technology, you'll help turn strategic ideas into working MVPs-ensuring high standards of methodology, quality, and business relevance throughout. You'll also help shape the data science environment by working alongside our tech teams to support a robust and flexible infrastructure, including sandbox environments for onboarding and evaluating new data sources. This is a great opportunity for a self-driven, impact-oriented data scientist who thrives in a fast-paced, cross-functional setting-and is eager to deliver meaningful results in a short time frame. Main Duties and Responsibilities Spearhead and execute complex data science projects using a combination of open-source and cloud tools, driving innovation and delivering actionable insights. Develop and deploy advanced machine learning models using cloud-based platforms. Collaborate with product managers and designers to ensure the feasibility of product extensions and new products based on existing proprietary, quantitative, and qualitative datasets. Work with outputs from Research and historical data to identify consistent and inconsistent product features and document precise requirements for improved consistency. Collaborate with designers, Tech colleagues, and expert users to come up with engaging ways to visualize data and outliers/exceptions for non-technical audiences. Design and develop novel ways to showcase and highlight key analysis from complex datasets, including joining across datasets that do not perfectly match. Collaborate with Product, Tech, Research, and other stakeholders to understand and define a new, marketable product from existing data. Create and present progress reports and ad-hoc reviews to key stakeholders and teams. Constantly think about and explain to stakeholders how analytics "products" could be refined and productionized in the future. Work with Tech colleagues to improve the Data Science workspace, including providing requirements for Data Lake, Data Pipeline, and Data Engineering teams. Expand on the tools and techniques already developed. Help us understand our customers (both internal and external) better so we can provide the right solutions to the right people, including proactively suggesting solutions for nebulous problems. Be responsible for the end-to-end Data Science lifecycle: investigation of data, from data cleaning to extracting insights and recommending production approaches. Responsible for demonstrating value addition to stakeholders. Coach, guide, and nurture talent within the data science team, fostering growth and skill development. Skills and Experience Delivering significant and valuable analytics projects/assets in industry and/or professional services. Proficiency in programming languages such as Python or R, with extensive experience with LLMs, ML algorithms, and models. Experience with cloud services like Azure ML Studio, Azure Functions, Azure Pipelines, MLflow, Azure Databricks, etc., is a plus. Experience working in Azure/Microsoft environments is considered a real plus. Proven understanding of data science methods for analyzing and making sense of research data outputs and survey datasets. Fluency in advanced statistics, ideally through both education and experience. Person Specification Bachelor's, Master's, or PhD in Data Science, Computer Science, Statistics, or a related field. Comfortable working with uncertainty and ambiguity, from initial concepts through iterations and experiments to find the right products/services to launch. Excellent problem-solving and strong analytical skills. Proven aptitude to learn new tools, technologies, and methodologies. Understanding of requirements for software engineering and data governance in data science. Proven ability to manage and mentor data science teams. Evidence of taking a company or department on a journey from Analytics to Data Science to AI and ML deployed at scale. Ability to translate complex analysis findings into clear narratives and actionable insights. Excellent communication skills, with the ability to listen and collaborate with non-technical and non-quantitative stakeholders. Experience working with client-facing and Tech teams to ensure proper data collection, quality, and reporting formats. Experience presenting investigations and insights to audiences with varying skill sets and backgrounds. Nice to have: experience working with market research methods and datasets. Nice to have: experience in the professional services or legal sector. B2B market research experience would be a significant plus.