Senior Presales Data & AI Architect In this customer-facing role, you will work closely with Sales, Portfolio, and Delivery teams to design intelligent, data-driven solutions that help customers leverage data, analytics, and AI to transform operations, accelerate innovation, and improve decision-making. The role combines data architecture, AI system design, and solution strategy, focusing on AI-as-a-Service (AIaaS) and agentic AI within managed service environments. You will define architectures integrating data platforms, AI models, and autonomous agent frameworks to enable scalable, secure, and ethical AI deployments across industries. As a trusted advisor, you will guide customers in modernising their data ecosystems and operationalising AI through governed, repeatable, and measurable service. Where purpose meets career: Continuous learning and exposure to innovative solutions: Work with a diverse portfolio of customers across multiple industries, tackling challenging data and AI initiatives, and applying your expertise across a variety of technologies, environments, and business contexts. This variety ensures continuous learning and exposure to innovative solutions. High-impact, market-facing role in Data, AI, and modern infrastructure, one of the fastest-growing areas in technology. You will influence strategic decisions, shape innovative solutions, and deliver measurable business outcomes, making a tangible difference for both clients and the organisation. Flexible, remote-first role with occasional travel, offering autonomy and the ability to manage your own schedule while staying connected with clients and cross-functional teams. Ideal for self-starters who thrive in an independent, high-responsibility environment. Skills we can't do without: Professional experience of at least 5 years in data architecture, analytics, or AI solution design, ideally within presales or consulting, with deep expertise in data platforms, governance, and AI/ML system design. Hands-on experience designing and deploying AI-as-a-Service and AI platform solutions in hybrid or managed service environments, including familiarity with agentic AI systems, multi-agent orchestration, and AI lifecycle frameworks (MLOps, LLMOps, DataOps). Proven presales experience with strong communication and stakeholder engagement skills, able to articulate complex technical solutions, integrate cloud-native AI services and open frameworks (MLflow, LangChain, Hugging Face, OpenAI APIs), and ensure ethical, compliant AI deployments in regulated industries. Educational Background and Qualifications: Educational Qualifications: Degree-qualified in Computer Science, Data Science, AI, or a related technical discipline. Professional certifications in data, AI, or architecture frameworks (e.g., TOGAF, DAMA, Azure/AWS/GCP AI) are desirable. Pension Scheme - contributions matched up to 10% Private medical cover Income Protection Life Assurance 25 days paid leave + National Holidays Flex benefits program Note: This role is UK-based and offers a remote working opportunity, with occasional UK domestic travel as required. The successful candidate should hold or be capable of obtaining Security Clearance to work with UK public sector organisations. As a Disability Confident employer, we encourage applications from all applicants, especially, differently abled applicants. We aim to ensure that those who meet the minimum criteria for this position will be offered an interview. We are committed and willing to making reasonable adjustments to the application and assessment process to accommodate your needs. We are also a care leaver-friendly employer. If you require additional support with your application, please contact our recruiter or send an email to our dedicated Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
Jan 09, 2026
Full time
Senior Presales Data & AI Architect In this customer-facing role, you will work closely with Sales, Portfolio, and Delivery teams to design intelligent, data-driven solutions that help customers leverage data, analytics, and AI to transform operations, accelerate innovation, and improve decision-making. The role combines data architecture, AI system design, and solution strategy, focusing on AI-as-a-Service (AIaaS) and agentic AI within managed service environments. You will define architectures integrating data platforms, AI models, and autonomous agent frameworks to enable scalable, secure, and ethical AI deployments across industries. As a trusted advisor, you will guide customers in modernising their data ecosystems and operationalising AI through governed, repeatable, and measurable service. Where purpose meets career: Continuous learning and exposure to innovative solutions: Work with a diverse portfolio of customers across multiple industries, tackling challenging data and AI initiatives, and applying your expertise across a variety of technologies, environments, and business contexts. This variety ensures continuous learning and exposure to innovative solutions. High-impact, market-facing role in Data, AI, and modern infrastructure, one of the fastest-growing areas in technology. You will influence strategic decisions, shape innovative solutions, and deliver measurable business outcomes, making a tangible difference for both clients and the organisation. Flexible, remote-first role with occasional travel, offering autonomy and the ability to manage your own schedule while staying connected with clients and cross-functional teams. Ideal for self-starters who thrive in an independent, high-responsibility environment. Skills we can't do without: Professional experience of at least 5 years in data architecture, analytics, or AI solution design, ideally within presales or consulting, with deep expertise in data platforms, governance, and AI/ML system design. Hands-on experience designing and deploying AI-as-a-Service and AI platform solutions in hybrid or managed service environments, including familiarity with agentic AI systems, multi-agent orchestration, and AI lifecycle frameworks (MLOps, LLMOps, DataOps). Proven presales experience with strong communication and stakeholder engagement skills, able to articulate complex technical solutions, integrate cloud-native AI services and open frameworks (MLflow, LangChain, Hugging Face, OpenAI APIs), and ensure ethical, compliant AI deployments in regulated industries. Educational Background and Qualifications: Educational Qualifications: Degree-qualified in Computer Science, Data Science, AI, or a related technical discipline. Professional certifications in data, AI, or architecture frameworks (e.g., TOGAF, DAMA, Azure/AWS/GCP AI) are desirable. Pension Scheme - contributions matched up to 10% Private medical cover Income Protection Life Assurance 25 days paid leave + National Holidays Flex benefits program Note: This role is UK-based and offers a remote working opportunity, with occasional UK domestic travel as required. The successful candidate should hold or be capable of obtaining Security Clearance to work with UK public sector organisations. As a Disability Confident employer, we encourage applications from all applicants, especially, differently abled applicants. We aim to ensure that those who meet the minimum criteria for this position will be offered an interview. We are committed and willing to making reasonable adjustments to the application and assessment process to accommodate your needs. We are also a care leaver-friendly employer. If you require additional support with your application, please contact our recruiter or send an email to our dedicated Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
Senior Machine Learning Scientist (Generative AI) - Viator London, UK About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything from simple tours to extreme adventures (and all the niche, interesting stuffin between)-making memories that will last a lifetime has never been easier. With industry-leading flexibility and last-minute availability, it's never too late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. You will work on: Research, prototype, and productionize generative AI models. Develop scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content. Design and evaluate prompt tuning strategies and RAG systems to ensure factual and engaging outputs. Fine-tune foundation models and develop domain-specific adapters using techniques like LoRA, PEFT, and instruction tuning. Define best practices for model monitoring, including output quality, hallucination detection, and user feedback loops. Understanding use cases for Agentic AI communicating your findings with the wider ML team and product. Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs. Collaborate cross-functionally with product, design, and engineering to integrate models into user-facing applications. Stay up to date with the latest in GenAI research and help shape internal best practices. Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience with at least 2 years of experience with LLM Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real-time results through A/B testing. To be passionate about mentoring junior members of the team, and have a strong desire to help us perform to the best of our ability. Leadership qualities, autonomy, and team collaboration skills. Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role is a remote position or hybrid in the UK, Poland or Portugal. Occasional travel to company offices as necessary. Accommodation If you need a reasonable accommodation or support during the application or recruiting process due to a medical condition or disability, please reach out to your recruiter or email and include the job requisition number.
Jan 09, 2026
Full time
Senior Machine Learning Scientist (Generative AI) - Viator London, UK About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything from simple tours to extreme adventures (and all the niche, interesting stuffin between)-making memories that will last a lifetime has never been easier. With industry-leading flexibility and last-minute availability, it's never too late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. You will work on: Research, prototype, and productionize generative AI models. Develop scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content. Design and evaluate prompt tuning strategies and RAG systems to ensure factual and engaging outputs. Fine-tune foundation models and develop domain-specific adapters using techniques like LoRA, PEFT, and instruction tuning. Define best practices for model monitoring, including output quality, hallucination detection, and user feedback loops. Understanding use cases for Agentic AI communicating your findings with the wider ML team and product. Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs. Collaborate cross-functionally with product, design, and engineering to integrate models into user-facing applications. Stay up to date with the latest in GenAI research and help shape internal best practices. Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience with at least 2 years of experience with LLM Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real-time results through A/B testing. To be passionate about mentoring junior members of the team, and have a strong desire to help us perform to the best of our ability. Leadership qualities, autonomy, and team collaboration skills. Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role is a remote position or hybrid in the UK, Poland or Portugal. Occasional travel to company offices as necessary. Accommodation If you need a reasonable accommodation or support during the application or recruiting process due to a medical condition or disability, please reach out to your recruiter or email and include the job requisition number.
Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise wide productivity. We're using the latest in AI to automate and innovate, empowering financial service businesses to achieve exceptional productivity and compliance outcomes. Role Overview As a Forward Solutions Engineer / Principal Solutions Consultant at Aveni, you will be a key technical leader in pre sales, solution design, and customer engagement. You will work closely with sales, product, engineering, and customer success teams to define, architect, demonstrate, and deliver AI powered solutions tailored to banks, wealth managers, insurance firms, and other financial services clients. Your mission is to translate complex business and regulatory needs into scalable, robust, compliant solutions that underscore Aveni's value proposition. You will often be "forward deployed", meaning you'll engage closely with strategic clients, acting as subject matter expert, leading technical discovery, driving proof of concepts (POCs), and ensuring successful handover to implementation and ongoing support. About You You are a seasoned Consultant who combines deep technical capability with business insight, someone who is equally at ease in boardroom discussions as you are in exploring architecture diagrams. You thrive when solving complex, regulated industry problems, especially in financial services or adjacent sectors. You likely come from a Big 4 consultancy, technology advisory practice or a similarly demanding environment. From this background you bring: Rigorous client facing experience: doing discovery, scoping, workshops, POCs, RFPs, not just writing proposals, but engaging deeply with clients at multiple levels (operations, risk, compliance, executives). Structured, analytical problem solving: you break down fuzzy business problems, diagnose root causes, map them to technical and regulatory constraints, and propose robust, scalable solutions. High standards of delivery: you are accustomed to detailed documentation, demanding stakeholders, continuous quality checks, and the discipline of consultancy timelines and billing. Strong commercial awareness: you understand value propositions, return on investment, trade offs (cost vs speed vs write down risk), and you factor in risk, compliance, data governance when designing solutions. Key Responsibilities Lead technical discovery and scoping phases with prospective clients: understand their business, compliance, risk, operational, regulatory and data environment. Design solution architectures leveraging Aveni's products (Detect, Assist, Agents, FinLLM) plus integrations with client systems (e.g., CRM, communication tools, data pipelines). Develop, deliver, and customise demos, POCs, workshops to illustrate value, ROI, regulatory compliance, risk mitigation, etc. Collaborate with sales teams to respond to RFIs / RFPs, proposals, pricing, technical documentation. Be a trusted advisor to clients: articulate how Aveni's AI/LLMs meet their needs; help them navigate trade offs (accuracy, risk, explainability, privacy). Provide feedback to Product and Engineering on feature requests, prioritisation, bug fixes, user experience, based on what you see in the field. Help define best practices, patterns, reusable assets (e.g., architecture templates, demo scripts, integrations) to speed up future engagements. Mentor / guide more junior solutions / presales engineers or consultants. Stay up to date with regulatory developments (e.g., Consumer Duty, risk oversight, compliance in financial services), Agentic / AI / NLP / LLM technologies, competitive landscape. Occasionally participate in post sales support / implementation oversight to ensure smooth handover, maintain continued alignment and client satisfaction. Requirements Must havens Substantial experience in pre sales / solutions consulting / technical consulting roles, especially in the Financial Services or Wealth Management space. Strong technical background: experience with machine learning, LLMs and AI systems; understanding of data pipelines, integrations, APIs, security and compliance sensitive environments. Ability to design solutions vs just selling features: architectural thinking, trade off evaluation, understanding of scalability, performance, data governance. Excellent communication and presentation skills: able to adapt technical stories for non technical executives (e.g., risk / compliance / operations leaders) as well as technical audiences. Experience leading or contributing in POCs, custom demos and pilot deployments. Deep understanding of regulatory and risk & compliance in financial services. Good project management and stakeholder management skills: managing cross functional teams, setting expectations, handling ambiguity. Nice to havens Prior experience in using or building AI Agents, generative models and NLP pipelines. Familiarity with tools or frameworks for LLM deployment, prompt engineering, vector databases, embeddings, etc. Experience with integrations (CRM, communications platforms, call recordings, speech to text, etc.). Familiarity with cloud architectures, data warehouses / lakes, data security/compliance frameworks (e.g., ISO, GDPR, regulations specific to FS). Experience mentoring juniors, creating reusable technical assets / IP. What Success Looks Like Delivery of well scoped POCs and demos that lead to closed deals. Technical proposals and architectures that satisfy both product capability and regulatory/risk constraints of clients. Positive feedback from clients on the clarity, reliability, and impact of your solutions and engagement. Good alignment and collaboration with Product, Engineering and Sales: features and customer insights feeding into roadmap, and technical delivery matching expectations. Reusability and scale: you help build patterns or frameworks that reduce effort and risk in future similar engagements. Maintaining up to date knowledge of regulatory environment and AI advances so that Aveni remains credible and ahead in the market. What We Offer A collaborative and innovative work environment with awesome career growth opportunities. 34 days holiday plus your birthday off (inclusive of bank holidays). Share options - we believe in shared success. Skills development - continuous learning is at our core, expect the development to be front and centre of everything you do. Remote and flexible working - remote, co working spaces, or a mix of both. Life insurance, income protection and private health care. Freebies and discounts at a range of retailers. Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counselling and emotional support). Cycle to work scheme. Pension scheme (employer contribution matched up to 5%). Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We're committed to building a team that reflects the diverse communities we serve and creating an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about leveraging technology to drive positive change and want to be part of a team that's shaping the future of financial services, we'd love to hear from you. We know that some people are likely to only apply where they meet 100% of requirements, but we'd like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI!
Jan 08, 2026
Full time
Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise wide productivity. We're using the latest in AI to automate and innovate, empowering financial service businesses to achieve exceptional productivity and compliance outcomes. Role Overview As a Forward Solutions Engineer / Principal Solutions Consultant at Aveni, you will be a key technical leader in pre sales, solution design, and customer engagement. You will work closely with sales, product, engineering, and customer success teams to define, architect, demonstrate, and deliver AI powered solutions tailored to banks, wealth managers, insurance firms, and other financial services clients. Your mission is to translate complex business and regulatory needs into scalable, robust, compliant solutions that underscore Aveni's value proposition. You will often be "forward deployed", meaning you'll engage closely with strategic clients, acting as subject matter expert, leading technical discovery, driving proof of concepts (POCs), and ensuring successful handover to implementation and ongoing support. About You You are a seasoned Consultant who combines deep technical capability with business insight, someone who is equally at ease in boardroom discussions as you are in exploring architecture diagrams. You thrive when solving complex, regulated industry problems, especially in financial services or adjacent sectors. You likely come from a Big 4 consultancy, technology advisory practice or a similarly demanding environment. From this background you bring: Rigorous client facing experience: doing discovery, scoping, workshops, POCs, RFPs, not just writing proposals, but engaging deeply with clients at multiple levels (operations, risk, compliance, executives). Structured, analytical problem solving: you break down fuzzy business problems, diagnose root causes, map them to technical and regulatory constraints, and propose robust, scalable solutions. High standards of delivery: you are accustomed to detailed documentation, demanding stakeholders, continuous quality checks, and the discipline of consultancy timelines and billing. Strong commercial awareness: you understand value propositions, return on investment, trade offs (cost vs speed vs write down risk), and you factor in risk, compliance, data governance when designing solutions. Key Responsibilities Lead technical discovery and scoping phases with prospective clients: understand their business, compliance, risk, operational, regulatory and data environment. Design solution architectures leveraging Aveni's products (Detect, Assist, Agents, FinLLM) plus integrations with client systems (e.g., CRM, communication tools, data pipelines). Develop, deliver, and customise demos, POCs, workshops to illustrate value, ROI, regulatory compliance, risk mitigation, etc. Collaborate with sales teams to respond to RFIs / RFPs, proposals, pricing, technical documentation. Be a trusted advisor to clients: articulate how Aveni's AI/LLMs meet their needs; help them navigate trade offs (accuracy, risk, explainability, privacy). Provide feedback to Product and Engineering on feature requests, prioritisation, bug fixes, user experience, based on what you see in the field. Help define best practices, patterns, reusable assets (e.g., architecture templates, demo scripts, integrations) to speed up future engagements. Mentor / guide more junior solutions / presales engineers or consultants. Stay up to date with regulatory developments (e.g., Consumer Duty, risk oversight, compliance in financial services), Agentic / AI / NLP / LLM technologies, competitive landscape. Occasionally participate in post sales support / implementation oversight to ensure smooth handover, maintain continued alignment and client satisfaction. Requirements Must havens Substantial experience in pre sales / solutions consulting / technical consulting roles, especially in the Financial Services or Wealth Management space. Strong technical background: experience with machine learning, LLMs and AI systems; understanding of data pipelines, integrations, APIs, security and compliance sensitive environments. Ability to design solutions vs just selling features: architectural thinking, trade off evaluation, understanding of scalability, performance, data governance. Excellent communication and presentation skills: able to adapt technical stories for non technical executives (e.g., risk / compliance / operations leaders) as well as technical audiences. Experience leading or contributing in POCs, custom demos and pilot deployments. Deep understanding of regulatory and risk & compliance in financial services. Good project management and stakeholder management skills: managing cross functional teams, setting expectations, handling ambiguity. Nice to havens Prior experience in using or building AI Agents, generative models and NLP pipelines. Familiarity with tools or frameworks for LLM deployment, prompt engineering, vector databases, embeddings, etc. Experience with integrations (CRM, communications platforms, call recordings, speech to text, etc.). Familiarity with cloud architectures, data warehouses / lakes, data security/compliance frameworks (e.g., ISO, GDPR, regulations specific to FS). Experience mentoring juniors, creating reusable technical assets / IP. What Success Looks Like Delivery of well scoped POCs and demos that lead to closed deals. Technical proposals and architectures that satisfy both product capability and regulatory/risk constraints of clients. Positive feedback from clients on the clarity, reliability, and impact of your solutions and engagement. Good alignment and collaboration with Product, Engineering and Sales: features and customer insights feeding into roadmap, and technical delivery matching expectations. Reusability and scale: you help build patterns or frameworks that reduce effort and risk in future similar engagements. Maintaining up to date knowledge of regulatory environment and AI advances so that Aveni remains credible and ahead in the market. What We Offer A collaborative and innovative work environment with awesome career growth opportunities. 34 days holiday plus your birthday off (inclusive of bank holidays). Share options - we believe in shared success. Skills development - continuous learning is at our core, expect the development to be front and centre of everything you do. Remote and flexible working - remote, co working spaces, or a mix of both. Life insurance, income protection and private health care. Freebies and discounts at a range of retailers. Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counselling and emotional support). Cycle to work scheme. Pension scheme (employer contribution matched up to 5%). Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We're committed to building a team that reflects the diverse communities we serve and creating an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about leveraging technology to drive positive change and want to be part of a team that's shaping the future of financial services, we'd love to hear from you. We know that some people are likely to only apply where they meet 100% of requirements, but we'd like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI!
AI Solutions Specialist Department: PreSales Employment Type: Full Time Location: London Description At Sabio Group, we're dedicated to fostering an environment where employees thrive. Since 1998, we've built a dynamic culture that is both challenging and fun, driven by a team of ambitious, knowledgeable individuals who are passionate about leading the CX revolution. We're seeking creative, resourceful people to join our fast-growing organisation, where you'll have the opportunity to develop your skills and contribute to a culture of continuous learning. We work with some of the world's largest organisations across various industries, delivering exceptional digital customer experiences through our unique blend of expertise, technology, and insight. As one of Europe's fastest-growing providers of CX transformation solutions, we're committed to sustainability, diversity, and inclusion, ensuring our workforce reflects the diverse society we serve. Join us and help shape the future of customer experience. We are currently looking for a passionate and enthusiastic AI Solutions Specialist to join our team. We look for people with the right cultural fit having what it takes to drive our business forward. We also look for people who are keen to develop new knowledge and skills, because our growth is ultimately dependent on yours. You will play an important role in driving change within our business, joining a department that is continually on a journey of change. Role Purpose The AI Solutions Specialist is a key technical leader within Sabio's Pre sales function, driving the design and delivery of enterprise scale AI and CX solutions. You will act as a trusted advisor to clients, leading discovery workshops, validating architectures, and translating AI capability into measurable business outcomes. This role combines deep technical expertise with strong commercial acumen and executive level presentation skills, making you central to Sabio's success in competitive sales cycles. Key Responsibilities Lead discovery sessions with enterprise clients to uncover opportunities and map AI to business needs. Design and validate end to end AI and automation architectures, ensuring scalability, resilience, and security. Own technical & operational service responses for proposals, RFPs, and pitches, ensuring clarity and credibility. Deliver engaging demonstrations and presentations that showcase ROI and competitive advantage. Act as an AI authority during sales cycles, influencing deal strategy and client positioning. Partner with Solution Engineers on proofs of concept and demos under time s conditions. Provide customer and market insights to inform Sabio's product and proposition roadmap. Mentor junior and associate colleagues, building capability across the Pre sales team. Skills Knowledge and Expertise Expert level knowledge of Conversational AI, Generative AI, Agentic AI, and automation frameworks. Deep understanding of CCaaS/contact centre operations and digital CX transformation. Awareness of security, compliance, and integration considerations in enterprise deployments. Commercial and financial awareness, including ROI modelling and TCO analysis. Strong understanding of competitive landscape in AI/CX. Proven ability to translate complex architectures and organisational challenges into clear, measurable business outcomes. Confidence engaging with senior stakeholders, including C level executives. Strong influencing and negotiation skills within competitive sales cycles. Ability to balance technical depth with commercial positioning. Leadership skills to guide junior team members, drive AI enablement through the immediate Specialist team, and collaborate across functions. Resilience and adaptability in fast moving, high pressure environments. Technologies AI/Automation: Conversational AI platforms, Generative AI models (LLMs), Agentic AI frameworks, RPA toolsli> CCaaS: Genesys, Avaya, NICE, Five9, Amazon Connect. Cloud platforms: AWS, Azure, Google Cloud. Integration: APIs, microservices, middleware. Data: Advanced analytics, reporting, and modelling tools. Qualifications Significant experience in Presales, Solutions Consulting, or Technical Architecture. Proven track record in delivering AI enabled CX transformation projects. Bachelor's or Master's degree in Computer Science, AI, Engineering, or related discipline. (preferred) Preferred / Advantageous Certifications Advanced cloud certifications (AWS Solutions Architect, Azure AI Engineer Associate, GCP AI/ML Engineer). Vendor specific CX/CCaaS certifications (Genesys Cloud, Amazon Connect). Specialist AI/ML certifications (TensorFlow, Hugging Face, OpenAI, or equivalent) Benefits This is your chance to join a friendly and passionate team that will motivate you to learn and develop your career in the company. Remote/Flexible work Discovery Medical Aid Connectivity Allowance 15 days paid holiday a year- (this includes three Sabio days) Momentum EAP The Small Print Strictly No Agencies; any submission of resumes without prior request from Sabio Group will not be deemed as an introduction and therefore will not warrant an introduction fee. All applicants must have the right to work in the territory to which the role relates (UK & EU). Sabio Group are unable to offer sponsorship on any roles advertised.
Jan 01, 2026
Full time
AI Solutions Specialist Department: PreSales Employment Type: Full Time Location: London Description At Sabio Group, we're dedicated to fostering an environment where employees thrive. Since 1998, we've built a dynamic culture that is both challenging and fun, driven by a team of ambitious, knowledgeable individuals who are passionate about leading the CX revolution. We're seeking creative, resourceful people to join our fast-growing organisation, where you'll have the opportunity to develop your skills and contribute to a culture of continuous learning. We work with some of the world's largest organisations across various industries, delivering exceptional digital customer experiences through our unique blend of expertise, technology, and insight. As one of Europe's fastest-growing providers of CX transformation solutions, we're committed to sustainability, diversity, and inclusion, ensuring our workforce reflects the diverse society we serve. Join us and help shape the future of customer experience. We are currently looking for a passionate and enthusiastic AI Solutions Specialist to join our team. We look for people with the right cultural fit having what it takes to drive our business forward. We also look for people who are keen to develop new knowledge and skills, because our growth is ultimately dependent on yours. You will play an important role in driving change within our business, joining a department that is continually on a journey of change. Role Purpose The AI Solutions Specialist is a key technical leader within Sabio's Pre sales function, driving the design and delivery of enterprise scale AI and CX solutions. You will act as a trusted advisor to clients, leading discovery workshops, validating architectures, and translating AI capability into measurable business outcomes. This role combines deep technical expertise with strong commercial acumen and executive level presentation skills, making you central to Sabio's success in competitive sales cycles. Key Responsibilities Lead discovery sessions with enterprise clients to uncover opportunities and map AI to business needs. Design and validate end to end AI and automation architectures, ensuring scalability, resilience, and security. Own technical & operational service responses for proposals, RFPs, and pitches, ensuring clarity and credibility. Deliver engaging demonstrations and presentations that showcase ROI and competitive advantage. Act as an AI authority during sales cycles, influencing deal strategy and client positioning. Partner with Solution Engineers on proofs of concept and demos under time s conditions. Provide customer and market insights to inform Sabio's product and proposition roadmap. Mentor junior and associate colleagues, building capability across the Pre sales team. Skills Knowledge and Expertise Expert level knowledge of Conversational AI, Generative AI, Agentic AI, and automation frameworks. Deep understanding of CCaaS/contact centre operations and digital CX transformation. Awareness of security, compliance, and integration considerations in enterprise deployments. Commercial and financial awareness, including ROI modelling and TCO analysis. Strong understanding of competitive landscape in AI/CX. Proven ability to translate complex architectures and organisational challenges into clear, measurable business outcomes. Confidence engaging with senior stakeholders, including C level executives. Strong influencing and negotiation skills within competitive sales cycles. Ability to balance technical depth with commercial positioning. Leadership skills to guide junior team members, drive AI enablement through the immediate Specialist team, and collaborate across functions. Resilience and adaptability in fast moving, high pressure environments. Technologies AI/Automation: Conversational AI platforms, Generative AI models (LLMs), Agentic AI frameworks, RPA toolsli> CCaaS: Genesys, Avaya, NICE, Five9, Amazon Connect. Cloud platforms: AWS, Azure, Google Cloud. Integration: APIs, microservices, middleware. Data: Advanced analytics, reporting, and modelling tools. Qualifications Significant experience in Presales, Solutions Consulting, or Technical Architecture. Proven track record in delivering AI enabled CX transformation projects. Bachelor's or Master's degree in Computer Science, AI, Engineering, or related discipline. (preferred) Preferred / Advantageous Certifications Advanced cloud certifications (AWS Solutions Architect, Azure AI Engineer Associate, GCP AI/ML Engineer). Vendor specific CX/CCaaS certifications (Genesys Cloud, Amazon Connect). Specialist AI/ML certifications (TensorFlow, Hugging Face, OpenAI, or equivalent) Benefits This is your chance to join a friendly and passionate team that will motivate you to learn and develop your career in the company. Remote/Flexible work Discovery Medical Aid Connectivity Allowance 15 days paid holiday a year- (this includes three Sabio days) Momentum EAP The Small Print Strictly No Agencies; any submission of resumes without prior request from Sabio Group will not be deemed as an introduction and therefore will not warrant an introduction fee. All applicants must have the right to work in the territory to which the role relates (UK & EU). Sabio Group are unable to offer sponsorship on any roles advertised.
Job Description Role: Guidewire Insurance Integration Architect Location: London Career Level: Associate Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO Qualification As a team : We are seeking a highly skilled General Insurance & London Markets Integration Architect with experience in Guidewire applications to lead the design, development, and implementation of integration solutions for large-scale insurance carriers. This role is critical in ensuring seamless connectivity between Insurance platforms (e.g., Guidewire PolicyCenter, BillingCenter, ClaimCenter, Reinsurance Management) and external enterprise systems, InsurTech platforms, regulatory bodies, and cloud environments. Integration Architecture & Solution Design Architect scalable, high-performance, and secure integration solutions for Insurance policy, billing, and claims platforms including Guidewire InsuranceSuite Define API-first integration strategies using RESTful API services to enable seamless data exchange between insurance applications, reinsurers, brokers, and third-party platforms. Implement microservices-based integration patterns for core insurance applications. Ensure compliance with insurance regulatory frameworks in system integrations. System Integration & Implementation Oversee end-to-end integration development for insurance solutions, including real-time claims validation, risk modeling, and actuarial data processing. Lead legacy modernization efforts, defining data migration strategies from on-prem core systems to insurance platforms. Design and implement Guidewire Edge APIs, GX Models, Messaging Framework, and Integration Gateway for external system connectivity. Optimize performance, security, and reliability of Guidewire integrations using best practices in cloud and DevOps. Cloud & DevOps Enablement Architect cloud-native integration solutions using AWS and Azure to support high-availability, auto-scaling, and disaster recovery strategies. Implement CI/CD pipelines to accelerate integration deployments. Use Infrastructure as Code to automate environment provisioning for Guidewire integration components. Work closely with security teams to enforce IAM policies, API security best practices, and data encryption. Stakeholder Engagement & Advisory Act as a trusted advisor to insurance carriers, reinsurers, and SI partners on integration best practices. Engage with C-level executives, underwriting teams, and claims leaders to align integration strategies with business objectives. Conduct technical workshops, Proof of Concepts, and innovation sessions to introduce modern integration methodologies Job Qualifications Required Skills & Experience Experience in system integration, enterprise architecture, and cloud-based solutions. Guidewire experience focusing on Integration Architecture, API development, and Cloud Deployment. Proficiency in Guidewire Edge APIs, Integration Gateway, GX Models, Messaging Frameworks, and Guidewire Cloud Platform. Hands on experience with Java, Gosu, Spring Boot, Node.js, Python, and API development. Experience integrating risk assessment tools, actuarial models, and catastrophe risk platforms. Knowledge of API management platforms and middleware solutions. Proficiency in cloud computing, microservices, event-driven architectures, and DevOps practices. Strong stakeholder management, consulting, and leadership skills. Skills & Qualifications Experience with Guidewire Claims Centre, GOSU programming, and system integrations. Guidewire certifications in V9 or V10. Experience in working for London Market projects. Understanding of claims data model and application landscape. Experience in integrating Guidewire claim center with downstream systems. Experience in migration of legacy systems to Guidewire application. Experience in Guidewire on-prem migration to cloud migration. Experience in working in projects in a distributed Agile environment. Ability to work directly with business partners and translate business requirements into system requirements. Strong knowledge of the insurance domain, particularly claims processes. Experience in cloud data platform integration and data reconciliation with data warehouses. Familiarity with source code management tools What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes up to 25 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for. About Accenture Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries - powered by the world's largest network of Advanced Technology and Intelligent Operations centers. With 750,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at Closing Date for Applications 26/02/2026 Accenture reserves the right to close the role prior to this date should a suitable applicant be found. Locations London Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
Jan 01, 2026
Full time
Job Description Role: Guidewire Insurance Integration Architect Location: London Career Level: Associate Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO Qualification As a team : We are seeking a highly skilled General Insurance & London Markets Integration Architect with experience in Guidewire applications to lead the design, development, and implementation of integration solutions for large-scale insurance carriers. This role is critical in ensuring seamless connectivity between Insurance platforms (e.g., Guidewire PolicyCenter, BillingCenter, ClaimCenter, Reinsurance Management) and external enterprise systems, InsurTech platforms, regulatory bodies, and cloud environments. Integration Architecture & Solution Design Architect scalable, high-performance, and secure integration solutions for Insurance policy, billing, and claims platforms including Guidewire InsuranceSuite Define API-first integration strategies using RESTful API services to enable seamless data exchange between insurance applications, reinsurers, brokers, and third-party platforms. Implement microservices-based integration patterns for core insurance applications. Ensure compliance with insurance regulatory frameworks in system integrations. System Integration & Implementation Oversee end-to-end integration development for insurance solutions, including real-time claims validation, risk modeling, and actuarial data processing. Lead legacy modernization efforts, defining data migration strategies from on-prem core systems to insurance platforms. Design and implement Guidewire Edge APIs, GX Models, Messaging Framework, and Integration Gateway for external system connectivity. Optimize performance, security, and reliability of Guidewire integrations using best practices in cloud and DevOps. Cloud & DevOps Enablement Architect cloud-native integration solutions using AWS and Azure to support high-availability, auto-scaling, and disaster recovery strategies. Implement CI/CD pipelines to accelerate integration deployments. Use Infrastructure as Code to automate environment provisioning for Guidewire integration components. Work closely with security teams to enforce IAM policies, API security best practices, and data encryption. Stakeholder Engagement & Advisory Act as a trusted advisor to insurance carriers, reinsurers, and SI partners on integration best practices. Engage with C-level executives, underwriting teams, and claims leaders to align integration strategies with business objectives. Conduct technical workshops, Proof of Concepts, and innovation sessions to introduce modern integration methodologies Job Qualifications Required Skills & Experience Experience in system integration, enterprise architecture, and cloud-based solutions. Guidewire experience focusing on Integration Architecture, API development, and Cloud Deployment. Proficiency in Guidewire Edge APIs, Integration Gateway, GX Models, Messaging Frameworks, and Guidewire Cloud Platform. Hands on experience with Java, Gosu, Spring Boot, Node.js, Python, and API development. Experience integrating risk assessment tools, actuarial models, and catastrophe risk platforms. Knowledge of API management platforms and middleware solutions. Proficiency in cloud computing, microservices, event-driven architectures, and DevOps practices. Strong stakeholder management, consulting, and leadership skills. Skills & Qualifications Experience with Guidewire Claims Centre, GOSU programming, and system integrations. Guidewire certifications in V9 or V10. Experience in working for London Market projects. Understanding of claims data model and application landscape. Experience in integrating Guidewire claim center with downstream systems. Experience in migration of legacy systems to Guidewire application. Experience in Guidewire on-prem migration to cloud migration. Experience in working in projects in a distributed Agile environment. Ability to work directly with business partners and translate business requirements into system requirements. Strong knowledge of the insurance domain, particularly claims processes. Experience in cloud data platform integration and data reconciliation with data warehouses. Familiarity with source code management tools What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes up to 25 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for. About Accenture Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries - powered by the world's largest network of Advanced Technology and Intelligent Operations centers. With 750,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at Closing Date for Applications 26/02/2026 Accenture reserves the right to close the role prior to this date should a suitable applicant be found. Locations London Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
Complexio is Foundational AI. This works to automate business activities by ingesting whole company data - both structured and unstructured - and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently. Complexio is a joint venture between Hafnia, in partnership with Marfin Management, C Transport Maritime, Trans Sea Transport and BW Epic Kosan and Símbolo This is a high-impact, commercially-facing role. As a Technical Pre-Sales Engineer, you'll act as a trusted technical advisor to prospects and partners - helping scope, position, and validate Complexio's capabilities in early-stage discussions. You'll collaborate directly with the Co-CEO and sales leads to win strategic accounts by clearly translating platform functionality into commercial outcomes. You will not only support technical validation but help craft the story that makes Complexio's architecture compelling for CIOs, CTOs, and Heads of Operations. This is about enabling confidence - not just answering questions. Responsibilities Partner with sales and leadership to position Complexio's technology in client meetings, discovery calls, and solution workshops Understand client business processes and map those to the platform's capabilities (ingestion, mapping, knowledge graph, orchestration, agent workflows) Define and document the scope of PoCs, pilot programs, and commercial deployments Articulate technical concepts (data architecture, infrastructure, security) in commercially relevant language for executive stakeholders Assist in the development of proposals, technical diagrams, SoWs, and integration outlines Work closely with engineering to ensure solution feasibility and clarity during the sales cycle Tailor demos and walkthroughs using real or anonymised data to showcase applied use cases (e.g. lost invoice detection, regulatory process mapping) Support conversations on deployment models (on-prem, air-gapped, hybrid) and data governance Help refine pricing estimates based on use case complexity and integration requirements What Success Looks Like Trusted by the sales team and Co-CEO to support key deals and strategic conversations Confidently handles technical Q&A with both IT leaders and business users Accelerates sales cycles by reducing friction around deployment, data access, and technical feasibility Wins customer confidence through clarity, responsiveness, and commercial empathy 5+ years in a customer-facing technical role (pre-sales, solutions architecture, sales engineering) Experience working alongside commercial or executive teams to position complex platforms Deep understanding of enterprise data environments - familiarity with APIs, cloud infrastructure (AWS/Azure), IAM, and integration models Strong communication skills - equally comfortable with CIOs, compliance heads, and data architects Structured, proactive, and persuasive - able to distil core value from complex systems Preferred Background in AI, machine learning, data platforms, or graph technology Experience in regulated industries (shipping, energy, finance, supply chain) Ability to adapt commercial materials and pitch narratives to different personas Familiarity with privacy-preserving architectures, unstructured data processing, or event-based reasoning models Join a pioneering joint venture at the intersection of AI and industry transformation. Work with a diverse and collaborative team of experts from various disciplines. Opportunity for professional growth and continuous learning in a dynamic field.
Jan 01, 2026
Full time
Complexio is Foundational AI. This works to automate business activities by ingesting whole company data - both structured and unstructured - and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently. Complexio is a joint venture between Hafnia, in partnership with Marfin Management, C Transport Maritime, Trans Sea Transport and BW Epic Kosan and Símbolo This is a high-impact, commercially-facing role. As a Technical Pre-Sales Engineer, you'll act as a trusted technical advisor to prospects and partners - helping scope, position, and validate Complexio's capabilities in early-stage discussions. You'll collaborate directly with the Co-CEO and sales leads to win strategic accounts by clearly translating platform functionality into commercial outcomes. You will not only support technical validation but help craft the story that makes Complexio's architecture compelling for CIOs, CTOs, and Heads of Operations. This is about enabling confidence - not just answering questions. Responsibilities Partner with sales and leadership to position Complexio's technology in client meetings, discovery calls, and solution workshops Understand client business processes and map those to the platform's capabilities (ingestion, mapping, knowledge graph, orchestration, agent workflows) Define and document the scope of PoCs, pilot programs, and commercial deployments Articulate technical concepts (data architecture, infrastructure, security) in commercially relevant language for executive stakeholders Assist in the development of proposals, technical diagrams, SoWs, and integration outlines Work closely with engineering to ensure solution feasibility and clarity during the sales cycle Tailor demos and walkthroughs using real or anonymised data to showcase applied use cases (e.g. lost invoice detection, regulatory process mapping) Support conversations on deployment models (on-prem, air-gapped, hybrid) and data governance Help refine pricing estimates based on use case complexity and integration requirements What Success Looks Like Trusted by the sales team and Co-CEO to support key deals and strategic conversations Confidently handles technical Q&A with both IT leaders and business users Accelerates sales cycles by reducing friction around deployment, data access, and technical feasibility Wins customer confidence through clarity, responsiveness, and commercial empathy 5+ years in a customer-facing technical role (pre-sales, solutions architecture, sales engineering) Experience working alongside commercial or executive teams to position complex platforms Deep understanding of enterprise data environments - familiarity with APIs, cloud infrastructure (AWS/Azure), IAM, and integration models Strong communication skills - equally comfortable with CIOs, compliance heads, and data architects Structured, proactive, and persuasive - able to distil core value from complex systems Preferred Background in AI, machine learning, data platforms, or graph technology Experience in regulated industries (shipping, energy, finance, supply chain) Ability to adapt commercial materials and pitch narratives to different personas Familiarity with privacy-preserving architectures, unstructured data processing, or event-based reasoning models Join a pioneering joint venture at the intersection of AI and industry transformation. Work with a diverse and collaborative team of experts from various disciplines. Opportunity for professional growth and continuous learning in a dynamic field.
Contact If you are unable to apply via the portal, please email your CV and Cover Letter to us directly to Overview We're looking for a Senior AI Engineer to build and scale cutting edge AI capabilities that drive smarter decisions and greater efficiency across Chambers and Partners. In this brand new role, you'll design and implement intelligent systems that enhance how we use data, streamline operations, and power innovation across our digital platforms. You'll play a key role in establishing the technical foundations for AI at Chambers, developing scalable solutions that push our technology forward and transform how we deliver value to our users. Main Duties and Responsibilities Build robust ingestion pipelines for PDFs/Word/Excel/Audio/JSON and semi structured sources. Design RAG systems: chunking strategies, document schemas, metadata, hybrid/dense retrieval, re ranking, and grounding. Manage vector/keyword indexes (e.g., Azure AI Search, pgvector, Pinecone/Weaviate). Develop and deploy advanced NLP, information retrieval, and recommendation systems that enhance Chambers and Partners' research and product offerings, including document understanding, automatic summarisation, topic modelling, semantic search, entity recognition, and relationship extraction. Design and implement intelligent tagging and metadata enrichment frameworks to categorize and organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build and maintain traditional ML and LLM models and pipelines. Build LLM apps using LangGraph/LangChain: tools/function calling, structured outputs (JSON Schema), agents, and multi step reasoning. Implement ASR/TTS and multimodal where relevant (e.g., Whisper). Choose customization paths pragmatically: prompt engineering, system prompts, tools, adapters/LoRA, and selective fine tuning only when needed. Fine tune and optimise ML models and LLMs to enhance performance, efficiency, and relevance for Chambers' research, analytics, and product applications. Apply best practices for model adaptation, evaluation, and deployment, ensuring solutions are scalable, reliable, and aligned with business objectives. Platform & Operations (LLMOps) Deploy and operate services on Azure (AKS/ACI/Azure Functions, API Management). Implement CI/CD (GitHub Actions/Azure DevOps), Infrastructure as Code (Bicep/Terraform), secrets via Azure Key Vault, private networking. Add observability: tracing/telemetry (OpenTelemetry, LangSmith), metrics, logs, cost and token usage monitoring, alerts. Apply evaluation & QA: regression suites, offline eval sets/golden data, RAG evals (faithfulness, answer relevance, citation correctness), A/B tests, win rate testing. Ensure reliability: rate limit handling, retries/backoff, idempotency, circuit breakers, caching (e.g., Redis/semantic cache), fallbacks and degradations. Governance, Safety & Security Enforce PII handling, data minimization, redaction, access controls, and auditability. Mitigate prompt injection/jailbreak risks; apply content filters/guardrails; track data residency. Establish and drive best practices for model versioning, reproducibility, performance monitoring, bias mitigation, data governance, and ethical AI use. Document architectural decisions, runbooks, and operational procedures. Software Engineering & Collaboration Write clean, tested, maintainable code in Python (and optionally .NET). Apply SOLID, TDD/BDD where sensible, code reviews, refactoring, performance profiling. Collaborate in an Agile environment; contribute to technical specs and implementation plans. Build POCs to de risk architecture and showcase value; harden POCs into production services. Mentor and guide more junior engineers and other team members, review code; contribute to technical design reviews; raise the collective standard of the team. Stay abreast of the AI/ML research landscape and legal tech/legal analytics domain to bring relevant innovations into our stack. Skills and Experience Demonstrable experience in software engineering, with 2+ years building LLM/AI applications in production. Strong in Python, API design, asynchronous programming, and integration patterns. Proven ability to scale LLMs and other AI models for high volume, real world applications including optimising inference, managing computational resources, and ensuring reliability and maintainability. Programming & ML/LLM Frameworks Strong expertise in Python and relevant ML/LLM libraries/frameworks (e.g., PyTorch, TensorFlow, scikit learn). Hands on with LangGraph/LangChain, LlamaIndex or Semantic Kernel for orchestration (tools, agents, guards, structured I/O). Familiarity with Azure OpenAI and at least one open model stack (e.g., Llama/Mistral via vLLM/TGI/Ollama). Proficient with front end Frameworks such as Angular for integration of AI powered applications. Experience with graph databases and knowledge graphs (Neo4j) for knowledge graphs and tool routing. Production deployments on Azure (AKS/ACI/Functions), CI/CD, and Infrastructure as Code (Bicep/Terraform). Data & Information Management Experience with relational/semi structured database (MS SQL and Cosmos DB) and vector search indexing (Azure AI Search/pgvector/Pinecone/Weaviate/Milvus/Qdrant) plus Neo4j or equivalent graph database. Software Engineering & Architecture Solid grasp of SDLC practices: unit/integration/E2E testing, code review, documentation, and maintainable software development. Able to implement key architectural outcomes, including reusability, performance, separation of concerns, and quality integrity. Experience in asynchronous programming, API design, and integration patterns. Experience with ASR/TTS productionisation (Whisper, Azure Cognitive Services) and audio pipelines is desirable. Governance, Security & Compliance Strong understanding of security, compliance, and ethical AI practices, including Key Vault, private endpoints, PII handling, RBAC, data governance, and bias mitigation. Awareness of ethical and responsible AI use, including model versioning, reproducibility, and evaluation best practices. Person Specification A passionate software engineer/Data Scientist with a history of driving their own technical and professional development. Strong experience in cross functional collaboration, translating business and research requirements into technical solutions. Worked in the media, publishing, research or a similar consumer focused industry. (Highly Desirable) Communication - Able to clearly communicate complex technical subjects to team members and stakeholders. Able to Lead, providing thought leadership in their domain. Attention to Detail - focused on finer details that make the difference. Delivery Focus - pragmatic and driven to get solutions live. Be comfortable and motivated to deliver on personal KPIs. A Proactive attitude. A self starter who seeks out opportunities for yourself and your team. Awareness of industry trends - such as challenges and best practices. Positive attitude - generating enthusiasm among team members. Able to build strong personal relationships and trust. Comfortable in a fast paced, collaborative environment, balancing multiple priorities and driving projects to completion. Equal Opportunity Statement We are committed to fostering and promoting an inclusive professional environment for all of our employees, and we are proud to be an equal opportunity employer. Diversity and inclusion are integral values of Chambers and Partners and are key in our culture. We are committed to providing equal employment opportunities for all qualified individuals regardless of age, disability, race, sex, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. This commitment applies across all of our employment policies and practices, from recruiting and hiring to training and career development. We support our employees through our internal INSPIRE committee with Executive Sponsors, Chairs and Ambassadors throughout the business promoting knowledge and effecting change. As a Disability Confident employer, we will ensure that a fair number of disabled applicants that meet the minimum criteria for this position will be offered an interview.
Jan 01, 2026
Full time
Contact If you are unable to apply via the portal, please email your CV and Cover Letter to us directly to Overview We're looking for a Senior AI Engineer to build and scale cutting edge AI capabilities that drive smarter decisions and greater efficiency across Chambers and Partners. In this brand new role, you'll design and implement intelligent systems that enhance how we use data, streamline operations, and power innovation across our digital platforms. You'll play a key role in establishing the technical foundations for AI at Chambers, developing scalable solutions that push our technology forward and transform how we deliver value to our users. Main Duties and Responsibilities Build robust ingestion pipelines for PDFs/Word/Excel/Audio/JSON and semi structured sources. Design RAG systems: chunking strategies, document schemas, metadata, hybrid/dense retrieval, re ranking, and grounding. Manage vector/keyword indexes (e.g., Azure AI Search, pgvector, Pinecone/Weaviate). Develop and deploy advanced NLP, information retrieval, and recommendation systems that enhance Chambers and Partners' research and product offerings, including document understanding, automatic summarisation, topic modelling, semantic search, entity recognition, and relationship extraction. Design and implement intelligent tagging and metadata enrichment frameworks to categorize and organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build and maintain traditional ML and LLM models and pipelines. Build LLM apps using LangGraph/LangChain: tools/function calling, structured outputs (JSON Schema), agents, and multi step reasoning. Implement ASR/TTS and multimodal where relevant (e.g., Whisper). Choose customization paths pragmatically: prompt engineering, system prompts, tools, adapters/LoRA, and selective fine tuning only when needed. Fine tune and optimise ML models and LLMs to enhance performance, efficiency, and relevance for Chambers' research, analytics, and product applications. Apply best practices for model adaptation, evaluation, and deployment, ensuring solutions are scalable, reliable, and aligned with business objectives. Platform & Operations (LLMOps) Deploy and operate services on Azure (AKS/ACI/Azure Functions, API Management). Implement CI/CD (GitHub Actions/Azure DevOps), Infrastructure as Code (Bicep/Terraform), secrets via Azure Key Vault, private networking. Add observability: tracing/telemetry (OpenTelemetry, LangSmith), metrics, logs, cost and token usage monitoring, alerts. Apply evaluation & QA: regression suites, offline eval sets/golden data, RAG evals (faithfulness, answer relevance, citation correctness), A/B tests, win rate testing. Ensure reliability: rate limit handling, retries/backoff, idempotency, circuit breakers, caching (e.g., Redis/semantic cache), fallbacks and degradations. Governance, Safety & Security Enforce PII handling, data minimization, redaction, access controls, and auditability. Mitigate prompt injection/jailbreak risks; apply content filters/guardrails; track data residency. Establish and drive best practices for model versioning, reproducibility, performance monitoring, bias mitigation, data governance, and ethical AI use. Document architectural decisions, runbooks, and operational procedures. Software Engineering & Collaboration Write clean, tested, maintainable code in Python (and optionally .NET). Apply SOLID, TDD/BDD where sensible, code reviews, refactoring, performance profiling. Collaborate in an Agile environment; contribute to technical specs and implementation plans. Build POCs to de risk architecture and showcase value; harden POCs into production services. Mentor and guide more junior engineers and other team members, review code; contribute to technical design reviews; raise the collective standard of the team. Stay abreast of the AI/ML research landscape and legal tech/legal analytics domain to bring relevant innovations into our stack. Skills and Experience Demonstrable experience in software engineering, with 2+ years building LLM/AI applications in production. Strong in Python, API design, asynchronous programming, and integration patterns. Proven ability to scale LLMs and other AI models for high volume, real world applications including optimising inference, managing computational resources, and ensuring reliability and maintainability. Programming & ML/LLM Frameworks Strong expertise in Python and relevant ML/LLM libraries/frameworks (e.g., PyTorch, TensorFlow, scikit learn). Hands on with LangGraph/LangChain, LlamaIndex or Semantic Kernel for orchestration (tools, agents, guards, structured I/O). Familiarity with Azure OpenAI and at least one open model stack (e.g., Llama/Mistral via vLLM/TGI/Ollama). Proficient with front end Frameworks such as Angular for integration of AI powered applications. Experience with graph databases and knowledge graphs (Neo4j) for knowledge graphs and tool routing. Production deployments on Azure (AKS/ACI/Functions), CI/CD, and Infrastructure as Code (Bicep/Terraform). Data & Information Management Experience with relational/semi structured database (MS SQL and Cosmos DB) and vector search indexing (Azure AI Search/pgvector/Pinecone/Weaviate/Milvus/Qdrant) plus Neo4j or equivalent graph database. Software Engineering & Architecture Solid grasp of SDLC practices: unit/integration/E2E testing, code review, documentation, and maintainable software development. Able to implement key architectural outcomes, including reusability, performance, separation of concerns, and quality integrity. Experience in asynchronous programming, API design, and integration patterns. Experience with ASR/TTS productionisation (Whisper, Azure Cognitive Services) and audio pipelines is desirable. Governance, Security & Compliance Strong understanding of security, compliance, and ethical AI practices, including Key Vault, private endpoints, PII handling, RBAC, data governance, and bias mitigation. Awareness of ethical and responsible AI use, including model versioning, reproducibility, and evaluation best practices. Person Specification A passionate software engineer/Data Scientist with a history of driving their own technical and professional development. Strong experience in cross functional collaboration, translating business and research requirements into technical solutions. Worked in the media, publishing, research or a similar consumer focused industry. (Highly Desirable) Communication - Able to clearly communicate complex technical subjects to team members and stakeholders. Able to Lead, providing thought leadership in their domain. Attention to Detail - focused on finer details that make the difference. Delivery Focus - pragmatic and driven to get solutions live. Be comfortable and motivated to deliver on personal KPIs. A Proactive attitude. A self starter who seeks out opportunities for yourself and your team. Awareness of industry trends - such as challenges and best practices. Positive attitude - generating enthusiasm among team members. Able to build strong personal relationships and trust. Comfortable in a fast paced, collaborative environment, balancing multiple priorities and driving projects to completion. Equal Opportunity Statement We are committed to fostering and promoting an inclusive professional environment for all of our employees, and we are proud to be an equal opportunity employer. Diversity and inclusion are integral values of Chambers and Partners and are key in our culture. We are committed to providing equal employment opportunities for all qualified individuals regardless of age, disability, race, sex, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. This commitment applies across all of our employment policies and practices, from recruiting and hiring to training and career development. We support our employees through our internal INSPIRE committee with Executive Sponsors, Chairs and Ambassadors throughout the business promoting knowledge and effecting change. As a Disability Confident employer, we will ensure that a fair number of disabled applicants that meet the minimum criteria for this position will be offered an interview.
Led by a world class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity's most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics. Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford's science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration. The Pathogen Mission highlights EIT's transformative approach, using Whole Genome Sequencing (WGS) and Oracle's cloud technology to create a global pathogen metagenomics system. This initiative aims to improve diagnostics, provide early epidemic warnings, and guide treatments by profiling antimicrobial resistance. The goal is to deliver certified diagnostic tools for widespread use in labs, hospitals, and public health. EIT Oxford fosters a culture of collaboration, innovation, and resilience, valuing diverse expertise to drive sustainable solutions to humanity's enduring challenges. We are seeking a Platform Engineer to join the EIT Pathogen Programme. In this role, you will help manage and develop the infrastructure behind our data platform, ensuring it is secure, scalable, and efficient. Working closely with data engineers and DevSecOps specialists, you'll support research teams by enabling advanced bioinformatics workflows and cloud based solutions. This position offers the chance to contribute to a programme focused on improving global health through pathogen genomics and cutting edge technology. Key Responsibilities Manage object data storage, ensuring efficient design, tiering, and access controls. Build and maintain the research compute environment for bioinformatics pipelines and interactive analytics. Ensure the data platform complies with disaster recovery standards. Manage cloud resources to set standards and automate deployments. Collaborate with the AI and Robotics team to contribute to and reuse modular assets using Terraform code models. Automate the deployment of tools within the research environment. Monitor all platform components for availability, cost, and performance. Support R&D activities to test novel approaches and Oracle Cloud usage. Support data ingestion from a global network of distributed sequencing devices. Maintain platform security in alignment with EIT standards. Work with architects and engineers to build optimised data platform components, including genomic variant stores, sequence stores, and pathogen analytics databases. Partner with the DevSecOps engineer to automate deployments using a standard toolchain. Enable engineers to perform common tasks through automated self service scripts. Support system administration and operations across environments. Collaborate with engineers to learn from incidents and implement improvements. Essential Knowledge, Skills, and Experience Strong hands on experience with cloud infrastructure, ideally Oracle Cloud, including provisioning, configuration, and service management. Ability to automate processes using Terraform and appropriate toolchains. In depth knowledge of containerisation technologies (e.g., Docker) and orchestration tools like Kubernetes. Solid understanding of cloud security best practices, including IAM, network security, and encryption. Experience with Git or other version control systems. Desirable Knowledge, Skills, and Experience Certifications in Oracle Cloud (OCI) or other platforms (AWS, GCP). Experience with Jira, Confluence, or similar project management tools. Knowledge of compliance frameworks and standards (e.g., GDPR, HIPAA, ISO27001, ISO13485). Key Attributes Strong collaboration skills. Willingness to learn and cross train in new technologies. Hands on approach to exploring new technologies and developing POCs. Excellent problem solving and analytical skills, with the ability to address security challenges critically. Effective communication and teamwork abilities, especially in cross functional teams. Ability to manage multiple tasks and meet deadlines in a fast paced environment. Attention to detail and commitment to security and quality assurance. Flexibility to adapt and contribute to a rapidly scaling organisation. We offer the following benefits: Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electrical Car Scheme Why work for EIT: At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact! Terms of Appointment: You must have the right to work permanently in the UK with a willingness to travel as necessary. You will live in, or within easy commuting distance of, Oxford. During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.
Jan 01, 2026
Full time
Led by a world class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity's most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics. Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford's science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration. The Pathogen Mission highlights EIT's transformative approach, using Whole Genome Sequencing (WGS) and Oracle's cloud technology to create a global pathogen metagenomics system. This initiative aims to improve diagnostics, provide early epidemic warnings, and guide treatments by profiling antimicrobial resistance. The goal is to deliver certified diagnostic tools for widespread use in labs, hospitals, and public health. EIT Oxford fosters a culture of collaboration, innovation, and resilience, valuing diverse expertise to drive sustainable solutions to humanity's enduring challenges. We are seeking a Platform Engineer to join the EIT Pathogen Programme. In this role, you will help manage and develop the infrastructure behind our data platform, ensuring it is secure, scalable, and efficient. Working closely with data engineers and DevSecOps specialists, you'll support research teams by enabling advanced bioinformatics workflows and cloud based solutions. This position offers the chance to contribute to a programme focused on improving global health through pathogen genomics and cutting edge technology. Key Responsibilities Manage object data storage, ensuring efficient design, tiering, and access controls. Build and maintain the research compute environment for bioinformatics pipelines and interactive analytics. Ensure the data platform complies with disaster recovery standards. Manage cloud resources to set standards and automate deployments. Collaborate with the AI and Robotics team to contribute to and reuse modular assets using Terraform code models. Automate the deployment of tools within the research environment. Monitor all platform components for availability, cost, and performance. Support R&D activities to test novel approaches and Oracle Cloud usage. Support data ingestion from a global network of distributed sequencing devices. Maintain platform security in alignment with EIT standards. Work with architects and engineers to build optimised data platform components, including genomic variant stores, sequence stores, and pathogen analytics databases. Partner with the DevSecOps engineer to automate deployments using a standard toolchain. Enable engineers to perform common tasks through automated self service scripts. Support system administration and operations across environments. Collaborate with engineers to learn from incidents and implement improvements. Essential Knowledge, Skills, and Experience Strong hands on experience with cloud infrastructure, ideally Oracle Cloud, including provisioning, configuration, and service management. Ability to automate processes using Terraform and appropriate toolchains. In depth knowledge of containerisation technologies (e.g., Docker) and orchestration tools like Kubernetes. Solid understanding of cloud security best practices, including IAM, network security, and encryption. Experience with Git or other version control systems. Desirable Knowledge, Skills, and Experience Certifications in Oracle Cloud (OCI) or other platforms (AWS, GCP). Experience with Jira, Confluence, or similar project management tools. Knowledge of compliance frameworks and standards (e.g., GDPR, HIPAA, ISO27001, ISO13485). Key Attributes Strong collaboration skills. Willingness to learn and cross train in new technologies. Hands on approach to exploring new technologies and developing POCs. Excellent problem solving and analytical skills, with the ability to address security challenges critically. Effective communication and teamwork abilities, especially in cross functional teams. Ability to manage multiple tasks and meet deadlines in a fast paced environment. Attention to detail and commitment to security and quality assurance. Flexibility to adapt and contribute to a rapidly scaling organisation. We offer the following benefits: Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electrical Car Scheme Why work for EIT: At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact! Terms of Appointment: You must have the right to work permanently in the UK with a willingness to travel as necessary. You will live in, or within easy commuting distance of, Oxford. During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.
Job Details: Senior AI/Machine Learning Engineer If you are unable to apply via the portal, please email your CV and Cover Letter to us directly to Full details of the job. Vacancy Name: Senior AI/Machine Learning Engineer Vacancy No: VN996 Location: London Employment Type: Perm Basis: Full Time Overview Chambers and Partners is transforming how the world's leading legal professionals access insight and intelligence and we're looking for a Senior AI Engineer to help drive that innovation. In this pivotal role, you'll design, develop, and deploy advanced AI and machine learning solutions that power our next generation of products and research capabilities. Collaborating closely with our architecture, research, analytics, and product teams, you'll bring creativity and technical expertise to the forefront of our data and technology strategy. This is a hands on engineering position focused on building and operating production grade LLM applications on Azure. You'll work on AI enabled and augmented intelligence solutions such as retrieval augmented generation (RAG), agentic workflows, and model integrations with a strong emphasis on reliability, performance, security, and continuous improvement. Main Duties and Responsibilities Data & Retrieval Build robust ingestion pipelines for PDFs/Word/Excel/Audio/JSON and semi structured sources. Design RAG systems: chunking strategies, document schemas, metadata, hybrid/dense retrieval, re ranking, and grounding. Manage vector/keyword indexes (e.g., Azure AI Search, pgvector, Pinecone/Weaviate). Develop and deploy advanced NLP, information retrieval, and recommendation systems that enhance Chambers and Partners' research and product offerings, including document understanding, automatic summarisation, topic modelling, semantic search, entity recognition, and relationship extraction. Design and implement intelligent tagging and metadata enrichment frameworks to categorize and organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models and pipelines. Build LLM apps using LangGraph/LangChain: tools/function calling, structured outputs (JSON Schema), agents, and multi step reasoning. Implement ASR/TTS and multimodal where relevant (e.g., Whisper). Choose customization paths pragmatically: prompt engineering, system prompts, tools, adapters/LoRA, and selective fine tuning only when needed. Fine tune and optimize ML models and LLMs to enhance performance, efficiency, and relevance for Chambers' research, analytics, and product applications. Apply best practices for model adaptation, evaluation, and deployment, ensuring solutions are scalable, reliable, and aligned with business objectives. Platform & Operations (LLMOps) Deploy and operate services on Azure (AKS/ACI/Azure Functions, API Management). Implement CI/CD (GitHub Actions/Azure DevOps), Infrastructure as Code (Bicep/Terraform), secrets via Azure Key Vault, private networking. Add observability: tracing/telemetry (OpenTelemetry, LangSmith), metrics, logs, cost and token usage monitoring, alerts. Apply evaluation & QA: regression suites, offline eval sets/golden data, RAG evals (faithfulness, answer relevance, citation correctness), A/B tests, win rate testing. Ensure reliability: rate limit handling, retries/backoff, idempotency, circuit breakers, caching (e.g., Redis/semantic cache), fallbacks and degradations. Governance, Safety & Security Enforce PII handling, data minimization, redaction, access controls, and auditability. Mitigate prompt injection/jailbreak risks; apply content filters/guardrails; track data residency. Establish and drive best practices for model versioning, reproducibility, performance monitoring, bias mitigation, data governance, and ethical AI use. Document architectural decisions, runbooks, and operational procedures. Software Engineering & Collaboration Write clean, tested, maintainable code in Python (and optionally .NET). Apply SOLID, TDD/BDD where sensible, code reviews, refactoring, performance profiling. Collaborate in an Agile environment; contribute to technical specs and implementation plans. Build POCs to de risk architecture and showcase value; harden POCs into production services. Mentor and guide more junior engineers and data scientists; review code; contribute to technical design reviews; raise the collective standard of the team. Stay abreast of the AI/ML research landscape and legal tech/legal analytics domain to bring relevant innovations into our stack. Skills and Experience Significant demonstrable experience in software engineering, with 2+ years building LLM/AI applications in production. Strong in Python, API design, asynchronous programming, and integration patterns. Proven ability to scale LLMs and other AI models for high volume, real world applications, including optimizing inference, managing computational resources, and ensuring reliability and maintainability. Programming & ML/LLM Frameworks Strong expertise in Python and relevant ML/LLM libraries/frameworks (e.g., PyTorch, TensorFlow, scikit learn). Strong in Python, API design, asynchronous programming, and integration patterns. Hands on with LangGraph/LangChain, LlamaIndex or Semantic Kernel for orchestration (tools, agents, guards, structured I/O). Familiarity with Azure OpenAI and at least one open model stack (e.g., Llama/Mistral via vLLM/TGI/Ollama). Proficient with front end frameworks such as Angular for integration of AI powered applications. Experience with graph databases and knowledge graphs (Neo4j) for knowledge graphs and tool routing. Cloud Deployment & MLOps Production deployments on Azure (AKS/ACI/Functions), CI/CD, and Infrastructure as Code (Bicep/Terraform). Solid understanding of cloud platforms and data infrastructure. Data & Information Management Experience with relational / semi structured database (MS SQL and Cosmos DB) and vector search indexing (Azure AI Search/pgvector/Pinecone/Weaviate/Milvus/Qdrant) plus Neo4j or equivalent graph database. Software Engineering & Architecture Solid grasp of SDLC practices: unit/integration/E2E testing, code review, documentation, and maintainable software development. Able to implement key architectural outcomes, including reusability, performance, separation of concerns, and quality integrity. Experience in asynchronous programming, API design, and integration patterns. Experience with ASR/TTS productionisation (Whisper, Azure Cognitive Services) and audio pipelines is desirable. Governance, Security & Compliance Strong understanding of security, compliance, and ethical AI practices, including Key Vault, private endpoints, PII handling, RBAC, data governance, and bias mitigation. Awareness of ethical and responsible AI use, including model versioning, reproducibility, and evaluation best practices. Person Specification A passionate software engineer/Data Scientist with a history of driving their own technical and professional development. Worked in the media, publishing, research or a similar consumer focused industry. (Highly Desirable) Communication - Able to clearly communicate complex technical subjects to team members and stakeholders. Able to lead, providing thought leadership in their domain. Attention to detail - focused on the finer details that make the difference. Delivery focus - pragmatic and driven to get solutions live. Be comfortable and motivated to deliver on personal KPIs. A proactive attitude. A self starter who seeks out opportunities for themselves and their team. Awareness of industry trends - such as challenges and best practices. Positive attitude - generating enthusiasm among team members. Able to build strong personal relationships and trust. Applications Close Date Job Description Equal Opportunity Statement We are committed to fostering and promoting an inclusive professional environment for all of our employees, and we are proud to be an equal opportunity employer. Diversity and inclusion are integral values of Chambers and Partners and are key in our culture. We are committed to providing equal employment opportunities for all qualified individuals regardless of age, disability, race, sex, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. This commitment applies across all of our employment policies and practices, from recruiting and hiring to training and career development. We support our employees through our internal INSPIRE committee with Executive Sponsors, Chairs and Ambassadors throughout the business promoting knowledge and effecting change. As a Disability Confident employer, we will ensure that a fair number of disabled applicants that meet the minimum criteria for this position will be offered an interview.
Jan 01, 2026
Full time
Job Details: Senior AI/Machine Learning Engineer If you are unable to apply via the portal, please email your CV and Cover Letter to us directly to Full details of the job. Vacancy Name: Senior AI/Machine Learning Engineer Vacancy No: VN996 Location: London Employment Type: Perm Basis: Full Time Overview Chambers and Partners is transforming how the world's leading legal professionals access insight and intelligence and we're looking for a Senior AI Engineer to help drive that innovation. In this pivotal role, you'll design, develop, and deploy advanced AI and machine learning solutions that power our next generation of products and research capabilities. Collaborating closely with our architecture, research, analytics, and product teams, you'll bring creativity and technical expertise to the forefront of our data and technology strategy. This is a hands on engineering position focused on building and operating production grade LLM applications on Azure. You'll work on AI enabled and augmented intelligence solutions such as retrieval augmented generation (RAG), agentic workflows, and model integrations with a strong emphasis on reliability, performance, security, and continuous improvement. Main Duties and Responsibilities Data & Retrieval Build robust ingestion pipelines for PDFs/Word/Excel/Audio/JSON and semi structured sources. Design RAG systems: chunking strategies, document schemas, metadata, hybrid/dense retrieval, re ranking, and grounding. Manage vector/keyword indexes (e.g., Azure AI Search, pgvector, Pinecone/Weaviate). Develop and deploy advanced NLP, information retrieval, and recommendation systems that enhance Chambers and Partners' research and product offerings, including document understanding, automatic summarisation, topic modelling, semantic search, entity recognition, and relationship extraction. Design and implement intelligent tagging and metadata enrichment frameworks to categorize and organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models and pipelines. Build LLM apps using LangGraph/LangChain: tools/function calling, structured outputs (JSON Schema), agents, and multi step reasoning. Implement ASR/TTS and multimodal where relevant (e.g., Whisper). Choose customization paths pragmatically: prompt engineering, system prompts, tools, adapters/LoRA, and selective fine tuning only when needed. Fine tune and optimize ML models and LLMs to enhance performance, efficiency, and relevance for Chambers' research, analytics, and product applications. Apply best practices for model adaptation, evaluation, and deployment, ensuring solutions are scalable, reliable, and aligned with business objectives. Platform & Operations (LLMOps) Deploy and operate services on Azure (AKS/ACI/Azure Functions, API Management). Implement CI/CD (GitHub Actions/Azure DevOps), Infrastructure as Code (Bicep/Terraform), secrets via Azure Key Vault, private networking. Add observability: tracing/telemetry (OpenTelemetry, LangSmith), metrics, logs, cost and token usage monitoring, alerts. Apply evaluation & QA: regression suites, offline eval sets/golden data, RAG evals (faithfulness, answer relevance, citation correctness), A/B tests, win rate testing. Ensure reliability: rate limit handling, retries/backoff, idempotency, circuit breakers, caching (e.g., Redis/semantic cache), fallbacks and degradations. Governance, Safety & Security Enforce PII handling, data minimization, redaction, access controls, and auditability. Mitigate prompt injection/jailbreak risks; apply content filters/guardrails; track data residency. Establish and drive best practices for model versioning, reproducibility, performance monitoring, bias mitigation, data governance, and ethical AI use. Document architectural decisions, runbooks, and operational procedures. Software Engineering & Collaboration Write clean, tested, maintainable code in Python (and optionally .NET). Apply SOLID, TDD/BDD where sensible, code reviews, refactoring, performance profiling. Collaborate in an Agile environment; contribute to technical specs and implementation plans. Build POCs to de risk architecture and showcase value; harden POCs into production services. Mentor and guide more junior engineers and data scientists; review code; contribute to technical design reviews; raise the collective standard of the team. Stay abreast of the AI/ML research landscape and legal tech/legal analytics domain to bring relevant innovations into our stack. Skills and Experience Significant demonstrable experience in software engineering, with 2+ years building LLM/AI applications in production. Strong in Python, API design, asynchronous programming, and integration patterns. Proven ability to scale LLMs and other AI models for high volume, real world applications, including optimizing inference, managing computational resources, and ensuring reliability and maintainability. Programming & ML/LLM Frameworks Strong expertise in Python and relevant ML/LLM libraries/frameworks (e.g., PyTorch, TensorFlow, scikit learn). Strong in Python, API design, asynchronous programming, and integration patterns. Hands on with LangGraph/LangChain, LlamaIndex or Semantic Kernel for orchestration (tools, agents, guards, structured I/O). Familiarity with Azure OpenAI and at least one open model stack (e.g., Llama/Mistral via vLLM/TGI/Ollama). Proficient with front end frameworks such as Angular for integration of AI powered applications. Experience with graph databases and knowledge graphs (Neo4j) for knowledge graphs and tool routing. Cloud Deployment & MLOps Production deployments on Azure (AKS/ACI/Functions), CI/CD, and Infrastructure as Code (Bicep/Terraform). Solid understanding of cloud platforms and data infrastructure. Data & Information Management Experience with relational / semi structured database (MS SQL and Cosmos DB) and vector search indexing (Azure AI Search/pgvector/Pinecone/Weaviate/Milvus/Qdrant) plus Neo4j or equivalent graph database. Software Engineering & Architecture Solid grasp of SDLC practices: unit/integration/E2E testing, code review, documentation, and maintainable software development. Able to implement key architectural outcomes, including reusability, performance, separation of concerns, and quality integrity. Experience in asynchronous programming, API design, and integration patterns. Experience with ASR/TTS productionisation (Whisper, Azure Cognitive Services) and audio pipelines is desirable. Governance, Security & Compliance Strong understanding of security, compliance, and ethical AI practices, including Key Vault, private endpoints, PII handling, RBAC, data governance, and bias mitigation. Awareness of ethical and responsible AI use, including model versioning, reproducibility, and evaluation best practices. Person Specification A passionate software engineer/Data Scientist with a history of driving their own technical and professional development. Worked in the media, publishing, research or a similar consumer focused industry. (Highly Desirable) Communication - Able to clearly communicate complex technical subjects to team members and stakeholders. Able to lead, providing thought leadership in their domain. Attention to detail - focused on the finer details that make the difference. Delivery focus - pragmatic and driven to get solutions live. Be comfortable and motivated to deliver on personal KPIs. A proactive attitude. A self starter who seeks out opportunities for themselves and their team. Awareness of industry trends - such as challenges and best practices. Positive attitude - generating enthusiasm among team members. Able to build strong personal relationships and trust. Applications Close Date Job Description Equal Opportunity Statement We are committed to fostering and promoting an inclusive professional environment for all of our employees, and we are proud to be an equal opportunity employer. Diversity and inclusion are integral values of Chambers and Partners and are key in our culture. We are committed to providing equal employment opportunities for all qualified individuals regardless of age, disability, race, sex, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. This commitment applies across all of our employment policies and practices, from recruiting and hiring to training and career development. We support our employees through our internal INSPIRE committee with Executive Sponsors, Chairs and Ambassadors throughout the business promoting knowledge and effecting change. As a Disability Confident employer, we will ensure that a fair number of disabled applicants that meet the minimum criteria for this position will be offered an interview.
Senior Pre Sales Engineer / AI Solutions Carbon3isbuildingtheUK'ssovereignAIinfrastructureplatform,combiningrenewableenergy,distributedcompute,and fulldataownershiptopowerthenextgenerationofsustainableinnovation. We're seeking a Senior Pre Sales Engineer who has expertise in AI solutions architecture to sit at the intersection of customer business challenges and cutting edge AI technology. This is a hands on, customer facing role responsible for designing and delivering enterprise grade AI solutions leveraging retrieval augmented generation (RAG), fine tuning, and inference deployment across Carbon3.ai's sovereign AI Mesh. You'll blend deep technical expertise with commercial acumen - engaging customers, architecting solutions, and ensuring seamless deployment of AI systems that drive real world transformation. Key Responsibilities Customer Solution Design Engage with enterprise customers to understand business goals and map them to AI workflows. Architect RAG pipelines, fine tuning strategies, and inference endpoint deployments using our key products. Collaborate with GTM and sales teams during pre sales cycles, workshops, and proof of concepts. AI and ML Engineering Implement, optimise, and deploy models using PyTorch, HuggingFace, LangChain, and NVIDIA Triton. Execute fine tuning and evaluation of foundation models for domain specific use cases. Package and deploy models into scalable inference endpoints (REST/gRPC APIs, containerised or GPU accelerated environments). Data and Knowledge Integration (RAG) Build pipelines that connect structured and unstructured enterprise data into vector databases and embedding models. Design semantic search and retrieval strategies to maximise response accuracy and relevance. Ensure all data pipelines are secure, compliant, and performant at scale. Collaboration and Knowledge Sharing Work closely with infrastructure and platform engineering teams for smooth deployments. Feed insights into the product roadmap and platform feature development. Act as a thought leader and trusted advisor to customers exploring applied AI adoption. Technical Excellence Develop and maintain 3-4 reusable solution accelerators (templates, playbooks, code repos) adopted across projects. Reduce model deployment cycle time by >30% through automation, tooling, or platform improvements. Collaboration and Growth Train or mentor at least 2 junior engineers or solution architects in AI delivery best practices. Contribute 2+ technical case studies, blog posts, or conference talks showcasing Carbon3.ai's AI solutions. Revenue Contribution Support pre sales activities resulting in measurable influenced ARR aligned with GTM metrics. Required Qualifications Experience working directly with enterprise customers and translating technical concepts into business value. Solid experience within AI/ML engineering, applied AI, or solutions engineering roles. Proven experience with Deploying inference endpoints at scale (Triton, HuggingFace Inference, Ray Serve, Kubernetes) Strong coding skills in Python (and ideally one of Go, Java, or C++). Deep understanding of vector databases, embeddings, and semantic search. Preferred Experience Exposure to NVIDIA AI Enterprise, HPE Private Cloud AI, or other enterprise AI platforms. Familiarity with UK regulatory and compliance frameworks (data sovereignty, ISO 27001, SOC 2). Knowledge of GPU optimisation and performance tuning. Contributions to open source AI or ML projects. Why Join Carbon3.ai? Work with next generation AI products Operate at the forefront: Join a fast moving, high investment market shaping the future of sovereign compute. Engage with senior leaders: Collaborate with executives across government, enterprise, and technology ecosystems. Influence market direction: Help position Carbon3 as the trusted platform for sustainable, sovereign AI adoption. Benefit from growth: Competitive compensation and performance linked rewards. Location This opportunity will require the successful individual to travel to customer sites across the United Kingdom.
Jan 01, 2026
Full time
Senior Pre Sales Engineer / AI Solutions Carbon3isbuildingtheUK'ssovereignAIinfrastructureplatform,combiningrenewableenergy,distributedcompute,and fulldataownershiptopowerthenextgenerationofsustainableinnovation. We're seeking a Senior Pre Sales Engineer who has expertise in AI solutions architecture to sit at the intersection of customer business challenges and cutting edge AI technology. This is a hands on, customer facing role responsible for designing and delivering enterprise grade AI solutions leveraging retrieval augmented generation (RAG), fine tuning, and inference deployment across Carbon3.ai's sovereign AI Mesh. You'll blend deep technical expertise with commercial acumen - engaging customers, architecting solutions, and ensuring seamless deployment of AI systems that drive real world transformation. Key Responsibilities Customer Solution Design Engage with enterprise customers to understand business goals and map them to AI workflows. Architect RAG pipelines, fine tuning strategies, and inference endpoint deployments using our key products. Collaborate with GTM and sales teams during pre sales cycles, workshops, and proof of concepts. AI and ML Engineering Implement, optimise, and deploy models using PyTorch, HuggingFace, LangChain, and NVIDIA Triton. Execute fine tuning and evaluation of foundation models for domain specific use cases. Package and deploy models into scalable inference endpoints (REST/gRPC APIs, containerised or GPU accelerated environments). Data and Knowledge Integration (RAG) Build pipelines that connect structured and unstructured enterprise data into vector databases and embedding models. Design semantic search and retrieval strategies to maximise response accuracy and relevance. Ensure all data pipelines are secure, compliant, and performant at scale. Collaboration and Knowledge Sharing Work closely with infrastructure and platform engineering teams for smooth deployments. Feed insights into the product roadmap and platform feature development. Act as a thought leader and trusted advisor to customers exploring applied AI adoption. Technical Excellence Develop and maintain 3-4 reusable solution accelerators (templates, playbooks, code repos) adopted across projects. Reduce model deployment cycle time by >30% through automation, tooling, or platform improvements. Collaboration and Growth Train or mentor at least 2 junior engineers or solution architects in AI delivery best practices. Contribute 2+ technical case studies, blog posts, or conference talks showcasing Carbon3.ai's AI solutions. Revenue Contribution Support pre sales activities resulting in measurable influenced ARR aligned with GTM metrics. Required Qualifications Experience working directly with enterprise customers and translating technical concepts into business value. Solid experience within AI/ML engineering, applied AI, or solutions engineering roles. Proven experience with Deploying inference endpoints at scale (Triton, HuggingFace Inference, Ray Serve, Kubernetes) Strong coding skills in Python (and ideally one of Go, Java, or C++). Deep understanding of vector databases, embeddings, and semantic search. Preferred Experience Exposure to NVIDIA AI Enterprise, HPE Private Cloud AI, or other enterprise AI platforms. Familiarity with UK regulatory and compliance frameworks (data sovereignty, ISO 27001, SOC 2). Knowledge of GPU optimisation and performance tuning. Contributions to open source AI or ML projects. Why Join Carbon3.ai? Work with next generation AI products Operate at the forefront: Join a fast moving, high investment market shaping the future of sovereign compute. Engage with senior leaders: Collaborate with executives across government, enterprise, and technology ecosystems. Influence market direction: Help position Carbon3 as the trusted platform for sustainable, sovereign AI adoption. Benefit from growth: Competitive compensation and performance linked rewards. Location This opportunity will require the successful individual to travel to customer sites across the United Kingdom.
Polaron is a spin-out from Imperial College London, founded by Dr Isaac Squires, Dr Steve Kench, and Dr Sam Cooper. The founders share a mission: to harness engineering, artificial intelligence, and materials science to design the materials of the future. Our vision is to become the world leader at the interface between AI and materials, combining scientific rigour with engineering pragmatism to enable the next generation of sustainable, high-performance materials. Our work isn't just about hard, scientific problems - it's about the urgency and impact of solving them. Advanced materials underpin all aspects of modern life: from the batteries that power electric vehicles to the alloys used in turbines and the composites that make aircraft lighter. Accelerating how these materials are developed, designed, and manufactured has a direct impact on the world's ability to build a more sustainable future. We're developing a cloud-based SaaS platform that empowers materials engineers to use state-of-the art image-based AI without friction, helping them generate insights and accelerate innovation with minimal effort. Our key stats: Team of 12 people today, growing fast. Based in East London (Shoreditch Exchange, Hoxton). Backed by cutting edge research and strong industry partnerships. Stack: TypeScript, React, Next.js, Express, Prisma, Python (PyTorch), PostgreSQL, Docker, Kubernetes, AWS, Terraform. What we're building: At Polaron, we're building the next generation of tools that enable materials scientists and manufacturers to leverage state of the art AI vision models, all without ever leaving their web browser. Our application consists of: Adata intensive visual interface that enables users to explore, interact with, and analyse complex datasets (including high resolution image data) directly in the browser built for performance and fluidity at scale. Interactive visualisation and analysis tools that combine 2D, 3D, and graph plotting. Acomputational orchestration layer that connects the frontend experience with machine learning models, allowing users to run sophisticated analyses and simulations seamlessly. Scalable AI infrastructure for training, serving, and executing complex machine learning workflows across distributed environments. Why we're hiring: We're entering a phase of rapid product and infrastructure scaling. To support this growth, we're hiring a Senior Software Engineer who will help define the technical foundations of our platform, shaping everything from backend architecture to product performance and developer experience. This is a hands on, high ownership role for someone who wants to build the core technology that enables the world's most advanced materials to be developed and manufactured. You'll have the freedom to make architectural decisions, work closely with scientists and engineers, and see your code directly power breakthroughs in industry and research. This role reports directly to our Head of Engineering and offers a significant degree of autonomy and influence over technical decisions and product direction. A snapshot of your first 6 months at Polaron: Month 1 - Understand and Contribute Quickly develop a deep understanding of our product, systems, and users Deliver incremental improvements to our product or platform Share early insights to help shape technical and product decisions Month 3 - Take Ownership Lead the design and delivery of an end to end feature that provides clear customer value Collaborate cross functionally with ML and product teams to turn complex ideas into working software Support and mentor junior engineers through code reviews, pairing, and guidance Month 6 - Drive Impact Demonstrate strong technical and product judgment, independently shaping and improving complex systems Take ownership of key architectural areas or projects Contribute to better engineering practices, tooling, and team efficiency Our hiring process: Intro Call (20 min) get to know you, your experience, and your motivation. Technical Pairing (1 hr) collaborative coding session over video call. Paid Trial Day work with the team on a real engineering challenge (remote or onsite). Final Debrief & Offer. We value transparency and fast feedback at every step. You are an experienced engineer who loves building robust, elegant systems that serve real product needs. You have: 5+ years' experience as a product-focused software engineer. Experience writing well tested, maintainable code in a statically typed language (TypeScript, Go, Rust, Java/Scala ). Strong fundamentals in API design, database modeling, scalability, and system performance. Experience deploying and maintaining systems on AWS, using tools such as Terraform, Docker, and Kubernetes. The ability to work across the stack when needed but with a clear backend focus (data, APIs, infra). Excellent communication skills: you can explain complex technical concepts with clarity. Bonus points for: Experience building high performance canvas or visualization interfaces (D3, Observable Plot). Exposure to PyTorch or machine learning pipelines. Knowledge of on prem or hybrid cloud deployments. Mindset and values: Is product oriented: you care about impact, not just elegant code. Is scientifically curious and thrives on complex, technical challenges. Works with low ego and collaborates transparently. Enjoys autonomy but knows when to ask questions and seek alignment. Has a long term mindset: ready to help build a company, not just a product. Communicates openly and values shared learning. Team and culture: High trust and ownership. Pragmatism over dogma. Curiosity, humility, and scientific discipline. A strong focus on quality, impact, and long term maintainability. What we value at Polaron: STEM mindset: genuine curiosity for science and the physical world. Hunger to learn: proactive, self driven, and impact oriented. Pragmatism: you prefer solutions that work over theoretical perfection. Low ego & empathy: you lift others up, you listen, you share knowledge. Long term commitment: you want to grow with the company and shape its journey. Salary: £95,000 - £115,000 depending on experience Equity: meaningful stock options in a growing company Holidays: 25 days + 2 "festive leave" days Perks: gym membership, free barista coffee Location: Shoreditch Exchange (Hoxton, London)
Jan 01, 2026
Full time
Polaron is a spin-out from Imperial College London, founded by Dr Isaac Squires, Dr Steve Kench, and Dr Sam Cooper. The founders share a mission: to harness engineering, artificial intelligence, and materials science to design the materials of the future. Our vision is to become the world leader at the interface between AI and materials, combining scientific rigour with engineering pragmatism to enable the next generation of sustainable, high-performance materials. Our work isn't just about hard, scientific problems - it's about the urgency and impact of solving them. Advanced materials underpin all aspects of modern life: from the batteries that power electric vehicles to the alloys used in turbines and the composites that make aircraft lighter. Accelerating how these materials are developed, designed, and manufactured has a direct impact on the world's ability to build a more sustainable future. We're developing a cloud-based SaaS platform that empowers materials engineers to use state-of-the art image-based AI without friction, helping them generate insights and accelerate innovation with minimal effort. Our key stats: Team of 12 people today, growing fast. Based in East London (Shoreditch Exchange, Hoxton). Backed by cutting edge research and strong industry partnerships. Stack: TypeScript, React, Next.js, Express, Prisma, Python (PyTorch), PostgreSQL, Docker, Kubernetes, AWS, Terraform. What we're building: At Polaron, we're building the next generation of tools that enable materials scientists and manufacturers to leverage state of the art AI vision models, all without ever leaving their web browser. Our application consists of: Adata intensive visual interface that enables users to explore, interact with, and analyse complex datasets (including high resolution image data) directly in the browser built for performance and fluidity at scale. Interactive visualisation and analysis tools that combine 2D, 3D, and graph plotting. Acomputational orchestration layer that connects the frontend experience with machine learning models, allowing users to run sophisticated analyses and simulations seamlessly. Scalable AI infrastructure for training, serving, and executing complex machine learning workflows across distributed environments. Why we're hiring: We're entering a phase of rapid product and infrastructure scaling. To support this growth, we're hiring a Senior Software Engineer who will help define the technical foundations of our platform, shaping everything from backend architecture to product performance and developer experience. This is a hands on, high ownership role for someone who wants to build the core technology that enables the world's most advanced materials to be developed and manufactured. You'll have the freedom to make architectural decisions, work closely with scientists and engineers, and see your code directly power breakthroughs in industry and research. This role reports directly to our Head of Engineering and offers a significant degree of autonomy and influence over technical decisions and product direction. A snapshot of your first 6 months at Polaron: Month 1 - Understand and Contribute Quickly develop a deep understanding of our product, systems, and users Deliver incremental improvements to our product or platform Share early insights to help shape technical and product decisions Month 3 - Take Ownership Lead the design and delivery of an end to end feature that provides clear customer value Collaborate cross functionally with ML and product teams to turn complex ideas into working software Support and mentor junior engineers through code reviews, pairing, and guidance Month 6 - Drive Impact Demonstrate strong technical and product judgment, independently shaping and improving complex systems Take ownership of key architectural areas or projects Contribute to better engineering practices, tooling, and team efficiency Our hiring process: Intro Call (20 min) get to know you, your experience, and your motivation. Technical Pairing (1 hr) collaborative coding session over video call. Paid Trial Day work with the team on a real engineering challenge (remote or onsite). Final Debrief & Offer. We value transparency and fast feedback at every step. You are an experienced engineer who loves building robust, elegant systems that serve real product needs. You have: 5+ years' experience as a product-focused software engineer. Experience writing well tested, maintainable code in a statically typed language (TypeScript, Go, Rust, Java/Scala ). Strong fundamentals in API design, database modeling, scalability, and system performance. Experience deploying and maintaining systems on AWS, using tools such as Terraform, Docker, and Kubernetes. The ability to work across the stack when needed but with a clear backend focus (data, APIs, infra). Excellent communication skills: you can explain complex technical concepts with clarity. Bonus points for: Experience building high performance canvas or visualization interfaces (D3, Observable Plot). Exposure to PyTorch or machine learning pipelines. Knowledge of on prem or hybrid cloud deployments. Mindset and values: Is product oriented: you care about impact, not just elegant code. Is scientifically curious and thrives on complex, technical challenges. Works with low ego and collaborates transparently. Enjoys autonomy but knows when to ask questions and seek alignment. Has a long term mindset: ready to help build a company, not just a product. Communicates openly and values shared learning. Team and culture: High trust and ownership. Pragmatism over dogma. Curiosity, humility, and scientific discipline. A strong focus on quality, impact, and long term maintainability. What we value at Polaron: STEM mindset: genuine curiosity for science and the physical world. Hunger to learn: proactive, self driven, and impact oriented. Pragmatism: you prefer solutions that work over theoretical perfection. Low ego & empathy: you lift others up, you listen, you share knowledge. Long term commitment: you want to grow with the company and shape its journey. Salary: £95,000 - £115,000 depending on experience Equity: meaningful stock options in a growing company Holidays: 25 days + 2 "festive leave" days Perks: gym membership, free barista coffee Location: Shoreditch Exchange (Hoxton, London)
Remote Principal Enterprise ArchitectRemote, United KingdomOur world is transforming, and PTC is leading the way.Our software brings the physical and digital worlds together, enabling companies to improve operations, create better products, and empower people in all aspects of their business.Our people make all the difference in our success. Today, we are a global team of nearly 7,000 and our main objective is to create opportunities for our team members to explore, learn, and grow - all while seeing their ideas come to life and celebrating the differences that make us who we are and the work we do possible.PTC is seeking an experienced Enterprise Architect to lead the design, implementation, and transformation of large-scale PLM-ERP-MES integrations within our global Customer Success PLM Segment Hub. The Enterprise Architect will serve as both a technical expert and strategic leader, overseeing the design, optimization, and promotion of best practices for integrating Windchill PLM with enterprise ERP and MES systems and processes. This individual will offer comprehensive subject matter expertise in enterprise PLM, ERP, and MES systems and processes, acting as a trusted advisor for PTC, its clients, and partners regarding architecture and business strategies at the convergence of these platforms. This position plays a critical role in shaping architectural strategy for integrated Windchill deployments across global strategic accounts, ensuring alignment with business goals, technical standards, and customer success objectives. KEY RESPONSIBILITIES Best Practice Development & Scale Define, develop, and disseminate Windchill PLM architecture and implementation methodologies, frameworks, and accelerators for scalable, repeatable deployments.Spearhead the development and global scaling of best practices for PLM-ERP-MES integration, collaborating with internal Product, Professional Services, and Technical Enablement teams as well as PTC's System Integrator ecosystem.Establish and promote best practices for business process transformation and organizational change management in relation to PLM-ERP-MES integrations, supporting cohesive product development and industrialization strategies. Enterprise Architecture & Strategy PLM-ERP-MES Integration Focus Develop and maintain reference PLM-ERP-MES architectures, solution blueprints, and enterprise integration frameworks.Architect and implement robust end-to-end integration strategies between Windchill PLM and ERP and MES systems, including BOM transformation and synchronization, change management, configuration management, manufacturing and process planning, supply chain, quality, service, and regulatory data exchange.Establish governance protocols for product and manufacturing data quality, lifecycle traceability, and reuse across PLM, ERP, and MES systems.Design and manage enterprise master data models for optimized enterprise processes, system interactions, and cross-discipline data associativity.Define and evolve the Windchill enterprise architecture strategies, ensuring scalability, performance, and alignment with Digital Thread and enterprise transformation initiatives. Implementation Leadership & Strategic Customer Engagements Partner with our implementation and technical enablement teams to provide enterprise PLM-ERP-MES process and architecture leadership across the customer lifecycle.Recommend and validate frameworks, accelerators, and best practices for efficient and successful implementation.Provide architectural and governance oversight for strategic customer engagements across global accounts.Mentor PTC Professional Services teams on Windchill system architecture and enterprise integration best practices. Cross-Functional Collaboration Play a leadership/advisory role in New Product Introduction deliverables and readiness planning, technical enablement content and certification development, and product feedback loop processes.Work closely with Product Management, R&D, the Enterprise Deployment Center, other Segment Hubs, and our customer-facing field teams to influence product direction and ensure world-class customer experience.Provide subject matter expertise for internal and customer-facing Digital Thread/Digital Transformation initiatives spanning other PTC Product Segments (e.g., ALM, CAD, IoT, SLM, etc.) and organizations. Community of Practice & Partner Advisory Evangelize PLM-ERP-MES and industry-specific expertise through the PLM Community of Practice and PTC's Partner Network.Contribute to the PLM Community of Practice by sharing technical insights, customer stories, and best practice materials.Provide advisory services and mentorship for strategic PTC partners. AI Enablement & Digital Innovation Support the evolving role of Artificial Intelligence (AI) in PTC solutions, including the integration of AI-driven capabilities into Windchill PLM, systems integration, and data orchestration.Advise on the adoption and implementation of AI technologies to enhance customer business processes, data analytics, automation, and decision support. QUALIFICATIONS Required Qualifications 10+ years of experience in PLM-ERP-MES systems architecture, with deep expertise in PLM, ERP, and MES systems and enterprise processes for product development, planning, manufacturing/production, quality, service, and sustainability.Proven track record of leading/facilitating successful ERP and/or PLM deployments as an implementer and/or administrator.Extensive experience with integration of Windchill PLM with ERP systems (e.g., SAP S/4HANA, Oracle Fusion Cloud and NetSuite, Microsoft Dynamics 365, Infor, etc.).Strong working knowledge of current and emerging APIs for system orchestration and enterprise integration frameworks for PLM, ERP, and MES.Robust understanding of Windchill PLM, ERP, and MES data models (particularly xBOM, configuration management, and BOP), containers, configuration and customization, enterprise system integrations, performance management, and deployment strategies.Strong grasp of enterprise master data and Digital Product Traceability/Digital Thread principles.Knowledge of Cloud based infrastructure and technologies (IaaS, PaaS, SaaS).Experience in software development, build, and deployment (JAVA, JSP, XML, Ant, etc.).Strong project/program management skills with ability to manage multiple priorities and projects simultaneously in a fast-paced global environment.Excellent presentation, communication, and interpersonal skills.Innovative problem-solving skills with an ability to balance analytical and creative problem-solving.High competency in building and maintaining trusted advisor relationships with customers and internal teams.High degree of comfort with senior management/executive C-Level engagement; able to carry executive-level enterprise architecture discussions and support technical implementation best practice and oversight.Demonstrated ability to work and adjust across cultures.Self-motivated, proactive, and able to work independently and as part of an inter-disciplinary, cross-functional, and high-performing team.Bachelor's or Master's degree in Engineering, Computer Science, Information Systems, or related field. Preferred Qualifications Strong working knowledge of ERP business processes, technical capabilities, and implementation frameworks is highly desirable, particularly for SAP solutions.Experience with integration of Windchill PLM with MES, CPQ, and other enterprise systems.Expertise in enterprise processes for IT, planning, and/or service and sustainment desired.Technical familiarity/proficiency in PTC's ALM, AR, CAD, IoT, and/or SLM solutions.Substantial best practice development experience.Demonstrated ability to drive AI-enabled innovation in PLM and related business processes.Strong business acumen with value mapping and technical
Jan 01, 2026
Full time
Remote Principal Enterprise ArchitectRemote, United KingdomOur world is transforming, and PTC is leading the way.Our software brings the physical and digital worlds together, enabling companies to improve operations, create better products, and empower people in all aspects of their business.Our people make all the difference in our success. Today, we are a global team of nearly 7,000 and our main objective is to create opportunities for our team members to explore, learn, and grow - all while seeing their ideas come to life and celebrating the differences that make us who we are and the work we do possible.PTC is seeking an experienced Enterprise Architect to lead the design, implementation, and transformation of large-scale PLM-ERP-MES integrations within our global Customer Success PLM Segment Hub. The Enterprise Architect will serve as both a technical expert and strategic leader, overseeing the design, optimization, and promotion of best practices for integrating Windchill PLM with enterprise ERP and MES systems and processes. This individual will offer comprehensive subject matter expertise in enterprise PLM, ERP, and MES systems and processes, acting as a trusted advisor for PTC, its clients, and partners regarding architecture and business strategies at the convergence of these platforms. This position plays a critical role in shaping architectural strategy for integrated Windchill deployments across global strategic accounts, ensuring alignment with business goals, technical standards, and customer success objectives. KEY RESPONSIBILITIES Best Practice Development & Scale Define, develop, and disseminate Windchill PLM architecture and implementation methodologies, frameworks, and accelerators for scalable, repeatable deployments.Spearhead the development and global scaling of best practices for PLM-ERP-MES integration, collaborating with internal Product, Professional Services, and Technical Enablement teams as well as PTC's System Integrator ecosystem.Establish and promote best practices for business process transformation and organizational change management in relation to PLM-ERP-MES integrations, supporting cohesive product development and industrialization strategies. Enterprise Architecture & Strategy PLM-ERP-MES Integration Focus Develop and maintain reference PLM-ERP-MES architectures, solution blueprints, and enterprise integration frameworks.Architect and implement robust end-to-end integration strategies between Windchill PLM and ERP and MES systems, including BOM transformation and synchronization, change management, configuration management, manufacturing and process planning, supply chain, quality, service, and regulatory data exchange.Establish governance protocols for product and manufacturing data quality, lifecycle traceability, and reuse across PLM, ERP, and MES systems.Design and manage enterprise master data models for optimized enterprise processes, system interactions, and cross-discipline data associativity.Define and evolve the Windchill enterprise architecture strategies, ensuring scalability, performance, and alignment with Digital Thread and enterprise transformation initiatives. Implementation Leadership & Strategic Customer Engagements Partner with our implementation and technical enablement teams to provide enterprise PLM-ERP-MES process and architecture leadership across the customer lifecycle.Recommend and validate frameworks, accelerators, and best practices for efficient and successful implementation.Provide architectural and governance oversight for strategic customer engagements across global accounts.Mentor PTC Professional Services teams on Windchill system architecture and enterprise integration best practices. Cross-Functional Collaboration Play a leadership/advisory role in New Product Introduction deliverables and readiness planning, technical enablement content and certification development, and product feedback loop processes.Work closely with Product Management, R&D, the Enterprise Deployment Center, other Segment Hubs, and our customer-facing field teams to influence product direction and ensure world-class customer experience.Provide subject matter expertise for internal and customer-facing Digital Thread/Digital Transformation initiatives spanning other PTC Product Segments (e.g., ALM, CAD, IoT, SLM, etc.) and organizations. Community of Practice & Partner Advisory Evangelize PLM-ERP-MES and industry-specific expertise through the PLM Community of Practice and PTC's Partner Network.Contribute to the PLM Community of Practice by sharing technical insights, customer stories, and best practice materials.Provide advisory services and mentorship for strategic PTC partners. AI Enablement & Digital Innovation Support the evolving role of Artificial Intelligence (AI) in PTC solutions, including the integration of AI-driven capabilities into Windchill PLM, systems integration, and data orchestration.Advise on the adoption and implementation of AI technologies to enhance customer business processes, data analytics, automation, and decision support. QUALIFICATIONS Required Qualifications 10+ years of experience in PLM-ERP-MES systems architecture, with deep expertise in PLM, ERP, and MES systems and enterprise processes for product development, planning, manufacturing/production, quality, service, and sustainability.Proven track record of leading/facilitating successful ERP and/or PLM deployments as an implementer and/or administrator.Extensive experience with integration of Windchill PLM with ERP systems (e.g., SAP S/4HANA, Oracle Fusion Cloud and NetSuite, Microsoft Dynamics 365, Infor, etc.).Strong working knowledge of current and emerging APIs for system orchestration and enterprise integration frameworks for PLM, ERP, and MES.Robust understanding of Windchill PLM, ERP, and MES data models (particularly xBOM, configuration management, and BOP), containers, configuration and customization, enterprise system integrations, performance management, and deployment strategies.Strong grasp of enterprise master data and Digital Product Traceability/Digital Thread principles.Knowledge of Cloud based infrastructure and technologies (IaaS, PaaS, SaaS).Experience in software development, build, and deployment (JAVA, JSP, XML, Ant, etc.).Strong project/program management skills with ability to manage multiple priorities and projects simultaneously in a fast-paced global environment.Excellent presentation, communication, and interpersonal skills.Innovative problem-solving skills with an ability to balance analytical and creative problem-solving.High competency in building and maintaining trusted advisor relationships with customers and internal teams.High degree of comfort with senior management/executive C-Level engagement; able to carry executive-level enterprise architecture discussions and support technical implementation best practice and oversight.Demonstrated ability to work and adjust across cultures.Self-motivated, proactive, and able to work independently and as part of an inter-disciplinary, cross-functional, and high-performing team.Bachelor's or Master's degree in Engineering, Computer Science, Information Systems, or related field. Preferred Qualifications Strong working knowledge of ERP business processes, technical capabilities, and implementation frameworks is highly desirable, particularly for SAP solutions.Experience with integration of Windchill PLM with MES, CPQ, and other enterprise systems.Expertise in enterprise processes for IT, planning, and/or service and sustainment desired.Technical familiarity/proficiency in PTC's ALM, AR, CAD, IoT, and/or SLM solutions.Substantial best practice development experience.Demonstrated ability to drive AI-enabled innovation in PLM and related business processes.Strong business acumen with value mapping and technical
Senior Machine Learning Scientist (Generative AI) - Viator London, England, United Kingdom About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)-making memories that will last a lifetime has never been easier. With industry-leading flexibility and last minute availability, it's never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote friendly approach to collaboration across a worldwide team, with the option to join on site as often as you'd like. Flexible schedule. Work life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us-and you-to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another-and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time-or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. You will work on: Research, prototype, and productionize generative AI models. Develop scalable GenAI pipelines that generate high quality content, from product descriptions, reviews, titles, and other product content. Design and evaluate prompt tuning strategies and RAG systems to ensure factual and engaging outputs. Fine tune foundation models and develop domain specific adapters using techniques like LoRA, PEFT, and instruction tuning. Define best practices for model monitoring, including output quality, hallucination detection, and user feedback loops. Understanding use cases for Agentic AI communicating your findings with the wider ML team and product. Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs. Collaborate cross functionally with product, design, and engineering to integrate models into user facing applications. Stay up to date with the latest in GenAI research and help shape internal best practices. Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Collaborate with product managers and various business stakeholders to ensure top quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands on data science experience with at least 2 years of experience with LLM. Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In depth knowledge of AI/ML/DL, Statistics, and related open source libraries. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real time results through A/B testing. To be passionate about mentoring junior members of the team, and have a strong desire to help us perform to the best of our ability. Leadership qualities, autonomy, and team collaboration skills. Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM). Prior experience in e commerce or at an Online Travel Agency. Job Location: This role is a remote position or hybrid in the UK or Poland. Occasional travel to company offices as necessary. If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to and let us know the nature of your request. Please include the job requisition number in your message.
Jan 01, 2026
Full time
Senior Machine Learning Scientist (Generative AI) - Viator London, England, United Kingdom About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)-making memories that will last a lifetime has never been easier. With industry-leading flexibility and last minute availability, it's never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote friendly approach to collaboration across a worldwide team, with the option to join on site as often as you'd like. Flexible schedule. Work life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us-and you-to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another-and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time-or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. You will work on: Research, prototype, and productionize generative AI models. Develop scalable GenAI pipelines that generate high quality content, from product descriptions, reviews, titles, and other product content. Design and evaluate prompt tuning strategies and RAG systems to ensure factual and engaging outputs. Fine tune foundation models and develop domain specific adapters using techniques like LoRA, PEFT, and instruction tuning. Define best practices for model monitoring, including output quality, hallucination detection, and user feedback loops. Understanding use cases for Agentic AI communicating your findings with the wider ML team and product. Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs. Collaborate cross functionally with product, design, and engineering to integrate models into user facing applications. Stay up to date with the latest in GenAI research and help shape internal best practices. Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Collaborate with product managers and various business stakeholders to ensure top quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands on data science experience with at least 2 years of experience with LLM. Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In depth knowledge of AI/ML/DL, Statistics, and related open source libraries. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real time results through A/B testing. To be passionate about mentoring junior members of the team, and have a strong desire to help us perform to the best of our ability. Leadership qualities, autonomy, and team collaboration skills. Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM). Prior experience in e commerce or at an Online Travel Agency. Job Location: This role is a remote position or hybrid in the UK or Poland. Occasional travel to company offices as necessary. If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to and let us know the nature of your request. Please include the job requisition number in your message.
Senior Machine Learning Scientist (Recommender Systems) - Viator London, England, United Kingdom About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)-making memories that will last a lifetime has never been easier. With industry leading flexibility and last minute availability, it's never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote friendly approach to collaboration across a worldwide team, with the option to join on site as often as you'd like. Flexible schedule. Work life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. You will work on: The Recommender Systems group is tasked with delivering highly relevant, personalised product ranking and recommendations to users across the entire Viator product. Further improving our product rankings with state of the art approaches has high level executive support and is a crucial part of the company's 3 year strategy. Get to work on a variety of Recsys modalities using a modern tech stack with a freedom to explore modelling approaches to find the optimal solution. Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimise business results, and ensure infrastructure efficiency. Collaborate with product managers and various business stakeholders to ensure top quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands on data science experience. In depth knowledge of AI/ML/DL, Statistics, and related open source libraries. Previous experience of working on industrial grade recommendation systems and ideally familiarity with offline evaluation techniques. Awareness of current ML techniques, keen on self improvement and striving to solve real world data challenges. Strong skills in SQL and at least one programming language. Comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real time results through A/B testing. Passion for mentoring junior members of the team, and a strong desire to help us perform to the best of our ability. Leadership qualities, autonomy, and team collaboration skills. Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, Large Language Models (LLM) Prior experience in e commerce or at an Online Travel Agency. Job Location: This role can be on site hybrid or a remote position in the UK or Poland. Occasional travel to company offices as necessary. If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to and let us know the nature of your request. Please include the job requisition number in your message.
Jan 01, 2026
Full time
Senior Machine Learning Scientist (Recommender Systems) - Viator London, England, United Kingdom About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)-making memories that will last a lifetime has never been easier. With industry leading flexibility and last minute availability, it's never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote friendly approach to collaboration across a worldwide team, with the option to join on site as often as you'd like. Flexible schedule. Work life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. You will work on: The Recommender Systems group is tasked with delivering highly relevant, personalised product ranking and recommendations to users across the entire Viator product. Further improving our product rankings with state of the art approaches has high level executive support and is a crucial part of the company's 3 year strategy. Get to work on a variety of Recsys modalities using a modern tech stack with a freedom to explore modelling approaches to find the optimal solution. Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimise business results, and ensure infrastructure efficiency. Collaborate with product managers and various business stakeholders to ensure top quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands on data science experience. In depth knowledge of AI/ML/DL, Statistics, and related open source libraries. Previous experience of working on industrial grade recommendation systems and ideally familiarity with offline evaluation techniques. Awareness of current ML techniques, keen on self improvement and striving to solve real world data challenges. Strong skills in SQL and at least one programming language. Comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real time results through A/B testing. Passion for mentoring junior members of the team, and a strong desire to help us perform to the best of our ability. Leadership qualities, autonomy, and team collaboration skills. Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, Large Language Models (LLM) Prior experience in e commerce or at an Online Travel Agency. Job Location: This role can be on site hybrid or a remote position in the UK or Poland. Occasional travel to company offices as necessary. If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to and let us know the nature of your request. Please include the job requisition number in your message.
