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Req ID: FEQ427R358 At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer-centric mindset guides us in creating a unified platform that makes data and AI accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data and AI challenges. Digital native companies are born in the cloud and build data and AI products at their core, which makes them among the most technical and demanding buyers we work with. As a Senior Solutions Engineer on our Emerging Enterprise Digital Native team, you will win new logos across the UK & Ireland by proving, hands on, that the platform solves their hardest problems. You'll work with a collaborative, customer focused team that values innovation and creativity. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have: Partner with an Account Executive and a Senior Solutions Architect to win new digital native logos across your UK & Ireland territory, and own the technical win. Run hands on evaluations and proofs-of-concept that get founders, CTOs, and lead engineers excited. Show the Data Intelligence Platform working against their real data and workloads, not slideware. Meet technical buyers on their own ground across modern data engineering (Spark, Delta, streaming), machine learning, and Generative AI, and integrate cleanly with their existing cloud and open source stack. Move at start up speed: qualify quickly, prove value early, and land in a way that sets up expansion. Make the technical and commercial case against competing tools, including cloud data warehouses, open source stacks, and hyperscaler services. Demonstrate our Builder Culture and our principle of "show, not tell", supported by the latest AI tooling, to inspire customers on the art of the possible. Contribute to Databricks' technical community by developing customer facing collateral and joining workshops, hackathons, seminars, and meet ups. Develop technically and in pre sales, with the goal of operating independently as a Solutions Architect. What we look for: We are seeking a highly motivated and technically skilled individual to join our UK&I Emerging Enterprise / Digital Native Solutions Engineering team, which focuses on winning new digital native and high growth technology customers. This role is based in the London office, with regular collaboration across the UK&I region. Core Technical Qualifications: Hands on experience in technical pre sales, consultancy, or engineering, ideally with data native or high growth technology companies. Proficiency in a core programming language such as Python, SQL, Scala, or Java, and a willingness to learn (or existing knowledge of) Spark. Familiarity with a core data or AI domain: modern data engineering, streaming, machine learning, or Generative AI (e.g. RAG, fine tuning, LLMOps). Experience with the modern data stack and open source data tooling, and with at least one major public cloud (AWS, Azure, or GCP). Hands on expertise in designing and delivering proofs of concept (PoCs). Enthusiasm for building with AI based development tooling such as Claude Code, Cursor, or Databricks Assistant / Genie. Pre Sales & Customer Facing Skills: Proven ability to engage customers in a technical sales capacity: building a narrative, challenging assumptions, finding the real pain, and driving to a clear, tangible outcome. Comfort communicating both technical and business value to diverse audiences, from engineers to founders and executives. A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Energized by a high velocity, new logo motion and comfortable with ambiguity rather than a fixed account set. Logistics: Ability to commute to the London office regularly. Willingness and ability to travel approximately % of the time across UK&I for customer visits. Nice to Have: Experience selling to or working at start ups, scaleups, or ISVs. Databricks or other relevant Cloud/Data certifications. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Applicant Privacy Notice

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank - eTrading team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Job responsibilities Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to the team culture of diversity, opportunity, inclusion, and respect Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 10+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced knowledge and demonstrated skills in in programming languages C and C++ Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls. Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Hands on experience working within Financial Services Industry Hands on experience on high throughput and low latency systems Hands on experience in electronic trading systems ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Select how often (in days) to receive an alert: Create Alert Candidates must provide work authorization for the respective country. Applied data and statistical skills, along with the ability to communicate insights clearly to nontechnical audiences. Interview to be held Week commencing 21st September About the Role: The Senior Data and Insight Scientist provide analytical leadership across Lloyd's Register Foundation, ensuring that data and evidence are robust, meaningful, and usable for decision making and impact. The role bridges deep technical expertise with clear insight translation, supporting flagship programmes including the World Risk Poll and the Global Safety Evidence Centre. This is a hybrid role combining advanced data analysis, applied statistics, evidence production, and high-quality communication. It plays a central role in strengthening the Foundation's evidence led approach to safety. About the Global Safety Evidence Centre Lloyd's Register Foundation's mission to engineer a safer world is underpinned by the use of robust and credible evidence to better understand the nature and scale of global safety challenges, and what is needed to address them. While we know this evidence is critical to informing decision-making and improving safety, it often does not yet exist or is not easily accessible. Responding to this need, the Foundation has established GSEC as a hub for anyone who needs to know 'what works' to make people safer, collating the best safety evidence from our partners and other sources and communicating it in an understandable and actionable form. GSEC also hosts the Foundation's own evidence outputs, such as our flagship World Risk Poll. What we offer you Full time - Permanent role Hybrid and flexible work schedules with an appreciation for work-life balance Working in a global company with the ability to work with different cultures and diverse people Competitive benefits package including 26 days holiday pro rata per annum, plus flexible bank holidays, buy/sell holidays, bonus scheme, company funded PMI, EAP, discount scheme & opportunities for learning & development (including financially supported part-time study) The opportunity to work for an organization that has a clear sense of purpose, is values-driven and helps colleagues to develop professionally and personally through our range of people development programs. The Role We do not expect applicants to demonstrate all of the specific skills outlined, and we are interested in hearing what you can bring to the role. 1. Analytical Leadership Perform high quality quantitative analysis across complex and large-scale datasets Apply appropriate, rigorous, and transparent analytical methods Ensure strong quality assurance across data, code, and outputs Develop reproducible analytical workflows that can be audited and reused 2. Insight & Visual Communication Translate technical findings into clear, compelling insight for non-technical audiences Design and maintain: Dashboards and data products Contribute analytical content to reports, briefings, and publications Provide analytical leadership to major initiatives, including: World Risk Poll Global Safety Evidence Centre Work with programme teams to: Shape research questions Interpret findings Apply evidence in practice Support monitoring, evaluation, and learning (MEL) through effective use of data and insight Work collaboratively with internal teams, research partners, and advisory groups Present insight to senior leadership, Board members, and external stakeholders Act as a trusted technical adviser within multidisciplinary teams 5. Capability Building & Innovation Improve analytical tools, methods, and workflows across the organisation Reproducibility Accessibility Mentor colleagues and contribute to a strong analytical culture Support the organisation's shift toward data informed decision-making What you bring We do not expect applicants to demonstrate all of the specific skills outlined, and we are interested in hearing what you can bring to the role. Technical and Data Solid data analysis and transformation skills, using modern analysis languages (SQL, Python, R) within a cloud-based data environment Experience working with both exploratory (notebook-based) and production code Experience with data engineering principles and cloud based data architecture Statistical and Analytical Solid applied statistics, including: Hypothesis testing Regression analysis Confidence intervals and effect sizes Experience working with complex survey data, including: Cross-national comparison Ability to develop reproducible, auditable analytical workflows Strong numerical judgement and attention to data quality Communication Effective verbal communication, including presenting to senior and external audiences Clear written communication, translating analysis into clear reports and narratives Ability to: Translate ambiguous stakeholder questions into analytical problems Translate findings into actionable insight Ways of Working Senior individual contributor mindset with end-to-end ownership of work Effective stakeholder management across a complex organisation Experience working with international partners and multidisciplinary teams Technical and Systems Familiarity with: GCP / BigQuery dbt or Dataform Git/GitHub workflows Experience integrating data from multiple systems (e.g. CRM, finance, web analytics) Experience using BI tools (e.g. Looker Studio, Tableau, Power BI) Advanced and Emerging Experience applying AI/LLM tools within analytical workflows Experience developing internal analytical tools (e.g. Shiny or equivalent) Working knowledge of web analytics data (e.g. GA4) Statistical / Domain Background in survey methodology, social statistics, or policy-relevant analysis Experience working with international datasets Use of machine learning techniques where appropriate Leadership and Delivery Experience mentoring or developing others Experience working with research or communications partners Ability to support organisational change toward stronger evidence use Experience in building networks, relationships, and ultimately and partnerships with relevant organisations Experience of championing data sharing, data collection, data use internally and externally Design and data storytelling Experience in static design work to ensure data led reports are accurate and accessible Experience in dynamic web visualisation as a narrative tool or as a lead generator Evidence of engaging mixed methods storytelling Role Impact This role is central to the Foundation's credibility, influence, and effectiveness. By ensuring that evidence is: Technically robust Clearly communicated Decision ready the Senior Data and Insight Scientist enables the organisation to: Strengthen organisational impact Contribute to global conversations on safety and wellbeing About us Lloyd's Register Foundation is an independent global charity with a unique structure and an important mission: engineering a safer world. We reduce risk to people and property and enhance the safety of the critical infrastructure that modern society relies upon. We do this by investing in high-quality research, innovation, education and skills development, and by convening stakeholders to form ambitious partnerships and coalitions. Our unique structure comes from the fact that we own a significant trading company, Lloyd's Register (LR). We share the same mission and work together to make the world a safer place. Be a part of Lloyd's Register is wholly owned by the Lloyd's Register Foundation, a politically and financially independent global charity that aims to engineer a safer world by promoting safety and education. For a thriving ocean economy, Lloyd's Register colleagues and Lloyd's Register Foundation work together to fund research, foster industry collaboration, and develop action-oriented solutions to make the world a safer place. Want to apply We hire people with a wide variety of skills, experience and backgrounds. This includes people with disability, women, people identifying as LGBTIQIA+, culturally and linguistically diverse people, careers and other varied groups. We are committed to making all stages of our recruitment process accessible to all candidates. Please let us know if you need any assistance or reasonable adjustments throughout your application and we will do everything we possibly can to support you. This position is available on a full-time basis, however, the Foundation is open to discussing applications for this role with flexible and part time working options. If you don't tick every box in these ads, please don't rule yourself out. We focus on hiring people who share our goal of working together to make the world a safer place. We care, we share, we do the right thing. If you have further questions about this role, please contact us at and we will respond to you as soon as possible. . click apply for full job details

About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money.We're building one of the world's leading fintech companies and are off to a strong start: One of the UK's newest unicorns with a team of just over 700 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) So far, we've rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers' hands in minutes instead of days. We're growing fast, and there's a lot more to do: we're going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting About the role We're building a larger, dedicated Platform team at Lendable, increasing our investment in the infrastructure that enables our products and engineering teams to scale. We're hiring a Technical Product Manager to sit within Engineering and connect platform technology, reliability and commercial value. You'll own what we prioritise and why, giving engineers the business context they need while helping Product and leadership understand the impact and opportunities that Platform enables. This is a hands on technical IC role, where you'll stay close to engineering through writing code, reviewing PRs and contributing to architecture discussions. Working closely with the Platform Engineering Manager and Tech Lead, you'll help shape the Platform roadmap, connect technical investment to measurable business outcomes, and build the foundations that allow Lendable to move faster and scale with confidence. What you'll be doing Own platform stability Own platform stability as a primary accountability - SLA/SLO metrics, incident rates, release quality. Hold release gating authority: block features from production that don't meet testing standards or introduce unacceptable regression risk. Enforce CI/CD standards centrally so pods don't fragment into one-off solutions. Track and report stability metrics alongside commercial outcomes - stability is the foundation that makes the rest possible. Be commercially accountable Own the business case for platform investment and answer "why are we spending six engineers on this for three months?" in terms leadership understands. Track platform impact in business terms: developer velocity, incident cost, time-to-market, reliability, capacity - e.g. "CXO rollout removes a 3-second API fan out, reducing session abandonment" or "we can now handle 20k simultaneous logins". Input into headcount and investment decisions for the platform team. Own the platform roadmap Own the platform backlog, prioritised by business value and sequenced to unblock the highest-value product teams first - not driven by technical debt or engineer preference alone. Make trade offs explicit: "if we do X now, we defer Y by Z weeks - here's what that means for products depending on us". Ensure every initiative has a defined success metric that non-engineers can track. Be the stakeholder interface Act as the single point of contact for Pod Leads: business requirements coming from pods and engineering/developer requirements flowing to pods; prioritise both in service of platform stability. Make platform work visible to leadership - regular forums with product MDs and PMs to capture upcoming dependencies before they become blockers; represent platform work in leadership reviews; translate technical milestones into business milestones. Drive cross team collaboration and buy in with other PMs; engage architecture in technical design. Escalate when product teams make requests that would create unsustainable platform load or technical debt. Contribute as an engineer Write code, review PR's, and participate in architecture design as a core part of the role - not a side project. Bring a strong technical voice to roadmap decisions without owning final architecture calls (that's Architecture and Tech Leads). What we're looking for Essential Deep, hands on engineering background - this role must be staffed by someone who has shipped production systems, not someone who has only managed backlogs. Strong commercial instinct: can build a business case, speak to P&L impact, and hold a line on ROI. Exceptional stakeholder management across product, engineering, and finance without direct line authority over all of them. Comfortable with ambiguity - platform value is often indirect and long horizon. Track record of contributing as an IC while operating at a senior, cross team level. Proactive, low ego, and clear communicator - able to hold a line with leadership and pod leads alike. Nice to have Experience in platform, infrastructure, or developer tooling contexts. Familiarity with SLA/SLO frameworks and incident management at scale. Experience enforcing CI/CD standards across multiple teams or pods. Prior work making "invisible" infrastructure legible to non technical leadership. Our tech stack Platform & backend: Kotlin, AWS, Postgres, RabbitMQ, Docker, Kubernetes. Gateway & clients: Node GraphQL gateway, React Native / TypeScript mobile app, Relay. Tooling & observability: GitHub, GitHub Actions, Jira, Confluence, Datadog, Sentry, Grafana. Interview process Quick call with the Talent Team (30 minutes) Hiring manager interview (30 minutes) Technical and Product interview (90 minutes) Culture add interview (60 minutes) Life at Lendable Winning team: the opportunity to scale up one of the world's most successful fintech companies Flexible working: flexible approach tailored to each role. Hybrid roles require three days in office weekly; fully remote roles include regular opportunities for in person connection through socials and off sites Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls Health coverage: support for your physical and mental wellbeing, including private health cover Retirement & savings: long term financial wellbeing through retirement savings plans Employee referral programme: earn a competitive bonus when you refer successful new team members Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in house chefs on in office days at select locations Sustainable commuting: cycle to work and electric vehicle salary sacrifice schemes available in select locations Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. Check out our blog! 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Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here. We don't chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we're always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you'll be empowered to envision its most powerful applications, and to make them happen. About the role As a Research Scientist at Faculty, you will conduct original technical research in AI safety to build the foundation for safe, trustworthy AI deployment. Operating at the forefront of AI, you will design and execute impactful experiments, study model behavior, and develop robust, reproducible tooling. Working alongside Senior and Lead Research Scientists, you will bridge scientific discovery with practical application, helping translate complex technical insights for external partners, frontier labs, and national security institutes. This is an incredible opportunity to hone your expertise, shape emerging safety standards, and solve some of the most critical challenges in modern AI. What you'll be doing: Executing technical research in AI safety by designing and running experiments to study and steer model behavior. Applying white-box and black-box methodologies, focusing on interpretability, steering, and behavioral studies of transformer-based LLMs. Developing high-quality, modular, and reproducible research code in Python using deep learning frameworks like PyTorch. Building and maintaining research infrastructure and technical tooling to accelerate scientific discovery. Documenting and communicating experimental findings through high-quality academic papers, technical reports, and presentations. Collaborating with senior scientists to identify literature gaps, refine hypotheses, and identify research scope. Translating complex technical insights for diverse audiences, including external frontier labs, government bodies, and safety institutes. Who we're looking for: Solid background in machine learning fundamentals and transformer architectures (specifically LLMs). A practical understanding of white-box and black-box interpretability techniques, such as steering vectors or mechanistic interpretability. Demonstrated capability to take structured technical problems and formulate hypotheses Strong programming skills in Python and deep learning frameworks like PyTorch, with a track record of writing clean, modular research code, using Git for version control. Excellent communication, enabling you to translate complex technical concepts and experimental results into clear reports and presentations. Curiosity and analytical rigour, combined with exposure to core AI safety areas such as robustness, evaluations, or uncertainty calibration. Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We're united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family-Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

About this role AI Labs Overview For more than three decades, BlackRock has combined world-class talent and technology to redefinewhat'spossible in asset management. Today, AI is reshaping every aspect of our industry, from investments and client experiences to operations, risk management, and product innovation. BlackRock AI Labs sits at the center of that transformation. AI Labs is BlackRock's advanced AIscience andengineeringorganization. We partner with teams across the firm to solve some of the most complex and consequential challenges in financial services, applying generative AI,machine learning,optimization,andstatisticsto deliver measurable business impact.Our mission issimple but ambitious: combine human and machine intelligence to revolutionize asset management. What sets AI Labs apart is our ability to move from idea toimpact. We are not a research lab detached from the business, nor are we a traditional software engineering organization. We are a hybrid team ofscientists andengineers who build solutions thatrun at scale inproduction environmentsandcreate capacity for our business partners.From AI-powered investment insights and risk management solutions to next-generation agentic workflows and enterprise AI platforms, our workis helping toshape the future of BlackRock. Our teams work on some of the firm'shighest prioritystrategic initiatives, including large-scale generative AI systems, intelligent agents, predictive analytics, optimization engines, operational risk solutions, and AI platforms that accelerate innovation across BlackRock. We help define best practices,establishtechnical standards, and enable teams throughout the organization to adopt AI safely, effectively, and at scale. AI Labs has offices in New York, Edinburgh, Atlanta,San Franciscoand Seattle. We are looking for candidates with unique backgrounds and diverse skill sets with fresh perspectives to accelerate and amplify our efforts to make an impact at BlackRock. In this role, you can expect to: Provide technical leadership, set architectural direction, and drive key design decisions across multidisciplinary teams. Design, build, and operate production AI/ML systems across areas such as generative AI, intelligent agents, predictive modeling, and optimization. Develop reusable AI platforms, services, and infrastructure that accelerate experimentation, deployment, monitoring, and adoption across the firm. Translate emerging AI capabilities into robust, scalable solutions that deliver measurable business impact. Define evaluation, testing, and observability approaches for AI systems, including non-deterministic and agentic applications. Optimize AI systems and workloads for latency, throughput, compute efficiency, reliability, security, and cost. Partner with business, engineering, data, risk, and control teams to take solutions from concept through production deployment and ongoing operation. Establish engineering standards, mentor engineers, and influence technical strategy across teams. The minimum requirements for this position are: 12+ years of software engineering experience, including significant experience designing, building, and operating complex production systems. 6+ years of experience building and deploying AI/ML, optimization, or other model-driven applications in production. Strong proficiency in Python and a track record of developing maintainable, well-tested production software. Strong SQL skills and experience working with data-intensive applications and large-scale datasets. Experience designing and building APIs, services, data pipelines, or distributed systems that support AI/ML applications. Experience with containerization and orchestration technologies, such as Docker and Kubernetes. Demonstrated ability to lead complex technical solutions from architecture and design through production deployment, operation, and continuous improvement. Strong problem-solving, collaboration, and communication skills, with the ability to influence technical decisions across multidisciplinary teams. Additional knowledge and experience we value includes: Experience collaborating with research teams in fast-moving environments, ideating quickly on research prototypes. Generative AI, large language models, AI agents, and architectures for production AI systems. Evaluation, experimentation, observability, debugging, and testing approaches for AI/ML systems, including non-deterministic and agentic applications. Machine learning and optimization frameworks such as PyTorch, TensorFlow, or JAX. Distributed systems, cloud infrastructure, model serving, orchestration, data pipelines, and API design. Performance optimization across latency, throughput, compute utilization, reliability, scalability, and cost. Responsible AI, security, governance, and controls in enterprise or regulated environments. Experience with a systems- or performance-oriented programming language such as Rust, C++, C, Go, or Zig. Experience in financial services or another regulated industry. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we've provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. To learn more about BlackRock, please visit We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok. BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law. Company: BlackRock Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry, Language Modeling, Machine Learning, NLP, Predictive Analytics, United Kingdom

We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo. London or UK Remote £150,000 - £200, 000 + Equity + Benefits About our Data Discipline We have a strong culture of data-driven decision making across the whole company. Data is central to how we understand our customers, shape our products, manage risk and grow Monzo sustainably. We believe in empowering teams with high-quality, trusted data and self-serve analytics, while creating space for Data practitioners to focus on the highest-impact questions, opportunities and decisions. Our Data discipline is centralised, but deeply embedded in Monzo's product areas. Data Scientists, Analytics Engineers, Machine Learning Engineers and Analysts work in cross-functional squads alongside Engineers, Designers, Product Managers, Marketers and other specialists. This means Data is not a downstream service: we help shape strategy, challenge thinking, build the data foundations teams need to move quickly, and share accountability for customer and commercial outcomes. Our Payments team At Monzo, payments are more than just moving money from A to B. They are a core part of how customers experience trust, speed, and financial control every day. As a Data Director in Payments, you would help shape seamless local payment experiences, ensuring customers can pay and get paid reliably while continuing to modernise the infrastructure that powers millions of transactions behind the scenes. The role also sits at the intersection of Monzo's broader ambition to build truly borderless banking and expand into new markets. That means designing products and payment capabilities that work effortlessly across geographies, currencies, and customer needs, while helping Monzo scale into new markets with the same simplicity and transparency that defines the brand today. You'll partner closely with Product, Engineering, and Design to help shape Monzo's payments strategy to make Monzo's global ambitions a reality, enabling revenue and customer growth with a resilient, self-serve banking platform. To succeed, you should be excited about solving tough, ambiguous business problems with analytical rigour, commercial viability and execution effectiveness Your day-to-day Establish yourself as a trusted member of the Payments Leadership team, enabling better decisions across Payments and the wider Data Discipline Co-drive Payments strategy and product decisions with Product and Engineering, bringing Data into discovery early to shape priorities and challenge thinking Identify untapped opportunities for commercial optimisation, including across pricing, commercialisation, investment and customer growth Set the data strategy for Payments, including the operating model, team priorities, architecture, technical debt and key metrics and drivers Translate between technical, product and commercial perspectives to help teams make clear, high-impact decisions Develop and scale a high-performing team of data professionals sharing accountability for product and business outcomes. You should apply if: What we're doing here at Monzo excites you! You have experience driving payments innovation and product strategy forward in a fast-growing business You combine deep Data expertise with strong product and commercial judgement. You can move comfortably from detailed metrics or architecture discussions to customer strategy, pricing and business outcomes You are an empathetic people leader who can build trust quickly, raise the performance bar and retain excellent talent You have experience growing and leading a full stack data team, including individual contributors and managers across Data Science, Analytics Engineering, Machine Learning Engineering and Analytics You have experience collaborating with senior cross-functional stakeholders across Product, Engineering, Design, Marketing and risk/control functions The Interview Process After an informal 30 min recruiter call, our interview process involves 2 main stages. We promise not to ask you any brain teasers or trick questions! Initial Call (1 hour) You'll meet with one of our senior data leaders. Loop Stage - This is one stage with 4 interviews (totalling 4 hours) split between a collaboration with one of our engineers on a technical exercise, as well as behavioural and leadership interviews. You can have this all in one day or split these across multiple days, whichever your prefer. Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on - How we work : Locations & Flexible Working : Our main tech hub is in London, but our engineers live everywhere in the UK- from Brighton to the Western Isles. We value meeting in person but there's no pressure to come into the office, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs. Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which happen to line up with our twice-weekly Monzo lunches & treat Thursdays. Set up a work schedule that delivers impact and fits your life. At Monzo, we value connections, flexibility, and wellbeing. We keep our meetings during core hours to stay connected and believe in maintaining work/life balance. You'll be empowered to manage your work in a way that suits you and your team, giving you the freedom for children drop-offs and pick-ups, walking your dog or adventurous cat, avoiding peak commuting times or gym slots, appointments, or supporting your family in an emergency. Work the way that works for you with Monzo! What's in it for you Base salary £150, 000 - £200, 000 + Equity + Benefits We can help you relocate to the UK We can sponsor visas This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage Find more English Speaking Jobs in United Kingdom on Arbeitnow

As a Senior Lead Solution Architect at JPMorganChase within the Securities Services Engineering & Architecture team, you will be part of a cross-functional agile team responsible for designing, assessing, and delivering high-quality solution architectures underpinning the platforms built as part of a strategic reengineering effort supporting the Securities Services businesses within the Commercial & Investment Bank. Solution Architecture, as practiced in this role, comprises three interrelated disciplines - Functional Architecture, Information Architecture, and Technical Architecture - and the Lead Solution Architect is expected to work fluidly across all three. You will engage across multiple concurrent streams of work, helping accelerate development, improve solution quality, and ensure alignment to firm-wide architecture patterns and standards. Job Responsibilities Engage with Business Operations, Product Management, and Technology stakeholders to ensure business requirements are properly articulated, understood, and realized as secure and robust solutions. Design and assess end-to-end solution architectures for enterprise-scale platforms, including data modeling, meta-modeling, master and reference data management, data quality, metadata management, data taxonomy, data integration, and data migration. Apply AI tools and techniques to improve Solution Architecture practices - including accelerating requirements analysis, pattern identification, data modeling, and architecture documentation. Ensure full conformance with firm-wide, CIB, and sub-Line of Business (sub-LOB) architecture patterns and standards, participating in architecture governance bodies. Lead evaluation sessions with external vendors, internal teams, and technology partners to assess architectural designs, technical credentials, and applicability within existing systems and information landscapes. Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability and solution quality. Evangelize the benefits and importance of Solution Architecture across business and technology communities through strong communication, presentations, workshops, and agile development forums. Leverages enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and decisioning across the product family, with human-in-the-loop validation and appropriate handling of sensitive data. Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring traceability/auditability, resiliency, and security controls. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering or architecture concepts and applied experience. Hands on Solution Architecture experience in enterprise sized applications spanning functional, information, and technical dimensions, with strong working knowledge of data modeling and meta modeling (such as UML) or tools such as ERwin, Power Designer, or MagicDraw. Knowledge of data architecture options including ODS, Data Lake, Data Catalog (DCAT), Data Warehousing, OLTP, and OLAP, and the treatment of data as a technology asset. Knowledge of core Solution Architecture capabilities: Master and Reference Data Management, Data Quality, Metadata Management, Data Taxonomy, Data Integration, Data Migration, and Data Modeling. Demonstrated proficiency in AI, machine learning, or related techniques as applied to architecture or software engineering disciplines. Hands on experience with object oriented software development using languages such as Java, Python, or C++; data formats including XML and JSON; and database management technologies including SQL, Oracle, Cassandra, and Public Cloud data offerings. Very strong knowledge of the Financial Services domain with emphasis on institutional businesses including Trading Middle Office, Prime Brokerage, Custody, Fund Accounting, and Securities and Derivatives Products across buy side and sell side perspectives. Experience working within lean/agile development frameworks, continuous integration, and continuous delivery. Extremely strong communication and facilitation skills across business and technology stakeholders, with the ability to communicate unambiguously through presentations, documents, workshops, and agile meetings. Demonstrated experience applying enterprise authorized AI capabilities within the work environment in architecture and engineering workflows with strong validation habits and awareness of data sensitivity. Ability to evaluate and integrate AI enabled capabilities into enterprise grade architectures while meeting resiliency, security, and auditability requirements. Preferred Qualifications, Capabilities, and Skills Hands on Public Cloud solution design experience, primarily AWS, including architecture certification for a Public Cloud provider. Experience with microservice application development, Service Oriented Architecture, or N Tier Architecture. Experience with Infrastructure as Code designs and secure application and software design practices. Experience with Cyber Security concerns informing solution architectures, including working knowledge of industry standards in the authentication and authorization domains. UML experience/exposure ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first class business in a first class way approach to serving clients drives everything we do. We strive to build trusted, long term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

JMAN is the commercial data partner that specializes in maximizing value creation activities for private equity funds and their portfolio companies. We partner with our clients to address the growing need for investment decisions and value creation initiatives to be backed by reliable, real-time data. When companies partner with JMAN, we combine our data science and data engineering expertise with our deep commercial understanding to deliver tangible, high-value outcomes at pace. Founded in 2010, JMAN has a global footprint with offices in New York, London and Chennai. Our team of more than 350 experts partner with more than 80 private equity funds and over 200 portfolio companies. Nearly 85% of our business is from recurring partnerships with our clients. JMAN has been a portfolio company of Baird Capital since 2023. Position We are a rapidly scaling business focused on delivering applied data science solutions that create measurable commercial value. While we work across a range of AI paradigms, data science sits at the core of what we do, and we are looking for individuals with deep, proven expertise in this area. This is a technical delivery leadership role for a highly experienced Data Scientist who leads with structured problem solving and client empathy. The primary measure of success is whether clients achieve meaningful business outcomes through robust, well-designed data science solutions, not the adoption of the latest AI trends. You will own the full lifecycle of data science engagements: shaping ambiguous problems, designing and delivering statistical and machine learning models, and ensuring they are embedded into operational workflows. You will work across organisations at every stage of data maturity, applying sound judgement to determine what is feasible, practical, and commercially valuable. While the role may involve exposure to Generative AI and autonomous AI, these are not substitutes for strong data science fundamentals. Candidates must demonstrate deep, hands on experience delivering applied machine learning and statistical modelling in real world settings. Internally, you will act as a data science standard setter, helping define best practice, raising the quality bar, and developing others within the team. Scope of Work Our work spans multiple AI paradigms, with a clear emphasis on Data Science as the primary discipline for this role: Data Science (Primary Focus): Statistical modelling, machine learning, predictive analytics, and decision science delivered into production environments and real business processes. Generative AI (Secondary): LLM powered applications such as RAG pipelines and document intelligence, applied where appropriate to support data led solutions. Autonomous AI (Emerging): Agent based systems and AI workflows, used selectively where they add clear value. 75-80% of the role is focused on Data Science led delivery, including problem structuring, model development, evaluation, and operationalisation. The remaining time is spent on client engagement, team leadership, and broader AI exposure where relevant. Core Responsibilities Own end-to-end delivery of data science workstreams, from problem definition through to production deployment and ongoing monitoring. Translate ambiguous business problems into hypothesis driven data science solutions, grounded in statistical rigour and practical feasibility. Lead the design and deployment of machine learning models, ensuring they are robust, explainable, and operationally viable. Provide technical oversight across projects, with a strong focus on model quality, evaluation frameworks, and reproducibility. Work closely with data engineers to ensure models are effectively integrated into production systems, with appropriate pipelines, monitoring, and lifecycle management. Apply sound judgement in selecting modelling approaches, balancing sophistication with interpretability, maintainability, and business value. Act as a trusted advisor to clients, communicating complex data science concepts clearly and influencing decision making at senior levels. Manage delivery timelines, risks, and priorities across engagements. Set the standard for data science excellence, including coding standards, documentation, and best practices. Mentor junior team members, supporting their development as data scientists. The most important requirement for this role is proven, hands on experience in Data Science. Candidates must be able to demonstrate a strong track record of delivering end to end machine learning or statistical solutions in real world environments. Requirements 5+ years' experience in Data Science or applied machine learning, ideally in consulting, high growth, or commercial environments. Strong applied machine learning expertise, including: Model selection and development Feature engineering Evaluation and validation Deployment into production environments Demonstrated experience taking models beyond experimentation into operational, business critical systems. Strong background in statistics and quantitative problem solving. Proficiency in Python and SQL, with experience writing production quality, maintainable code. Experience with modern data science tooling, including: Version control (Git) Cloud platforms (AWS, GCP, or Azure) Experiment tracking and model management Workflow orchestration and containerisation Strong understanding of MLOps principles, including model monitoring, retraining, and lifecycle management. Proven ability to translate business problems into data science solutions that deliver measurable outcomes. Beneficial Exposure to Generative AI (e.g. LLMs, RAG) is beneficial but not a substitute for core data science expertise. Awareness of emerging AI paradigms (e.g. agent based systems) is a plus, but not required. We particularly value depth in applied data science areas such as: Customer analytics (segmentation, churn, LTV) Pricing and optimisation models Experimental design and causal inference Natural Language Processing (within a traditional ML framework as well as LLM based approaches) Other information If you feel that you would be a strong addition to our team, but you do not fully meet all the requirements above, we would like to encourage you to please apply anyway. As we expand, we are looking for individuals across all levels and maybe able to discuss a suitable alternative with you. JMAN is committed to equal employment opportunities. We are a diverse, high performing team and base all our employment decisions on merit, job requirements and business needs. Other information Discretionary bonus - based on personal and company performance 25 days annual leave + bank holidays Pension with a company contribution up to 8% Health Insurance from day 1 Life insurance and long term disability insurance Market leading parental leave policy Salary Sacrifice Nursery Scheme through YellowNest Salary Sacrifice EV Scheme with Octopus Vehicles Additional Health Cash Plan with MediCash Cycle to work scheme Re ferral bonus for bringing in new JMAN hires Extensive training and coaching opportunities Regular company socials and retreats Hybrid working - minimum of 3 days in the office (E3N)

Roche Products Ltd. is seeking a Machine Learning Scientist to join the AI for Drug Discovery team within the Computational Sciences Center of Excellence. You will combine ML with quantum chemistry to build fast, accurate models for small molecule research and collaborate with world class computational and experimental scientists. Applicants should have deep ML knowledge, experience with quantum chemistry toolkits (Psi4, PySCF, ORCA) and Python-based ML frameworks (PyTorch, JAX).

Head of Data Science (12m fixed-term contract) Location: London Employment Type: Full time Department: Data Science Work Arrangement: Hybrid, 3 days a week Data Science at Marshmallow Our data science team supports various business functions across our Product teams and within Pricing and Claims. Working across the full spectrum of data science problems, from traditional machine learning for risk-based decisioning through to generative AI and the automation of complex operational journeys, all within a regulated insurtech/fintech domain. This is a hands-on leadership role for someone who can bring a team together and ensure it delivers at pace while its foundations strengthen: leading and developing the people, personally holding the bar on technical quality, and partnering closely with engineering and product. It suits a leader who is strong both leading and growing teams as well as a technical decision-maker. About the team The Data Science team operates as a primary commercial engine for Marshmallow, using data and machine learning to drive tangible business outcomes, from pricing strategy to operational efficiency. The team works closely with senior stakeholders and partners across data, engineering, product and commercial functions to identify the right opportunities and make thoughtful technical trade-offs. We operate with a flat structure, so leaders stay close to the people doing the work and support colleagues at different levels of experience. Our ambition is to keep raising the bar for how data science delivers impact across the business. What you'll be doing Drive commercial impact at every turn: Proactively identify and prioritise data science opportunities that offer the highest leverage for the business, ensuring every project is measured by its bottom-line contribution and strategic commercial alignment. Lead the people and culture agenda for data science: set goals, manage performance and development conversations, and keep an evolving team engaged and delivering high-impact projects. Provide hands-on technical leadership: set and hold a consistent bar on technical standards across the full modelling and data lifecycle. Represent data science in cross-functional conversations, partnering closely with engineering, product and pricing on technical direction and trade-offs. Build collective ownership of technical standards across Data Science, coaching people to look beyond their own domain and drive function-wide improvements to shared standards, tooling and best practice. Who you are You bring an inherently commercial-first mindset: you don't just build models, you build solutions that directly influence the P&L, and you constantly evaluate every technical trade-off through a rigorous lens of business value. You make confident decisions even when the picture is still forming, and you're comfortable operating across more than one domain at once. You have a track record of driving visible improvements to team culture, ways of working, and technical standards. You build trust quickly with a team, and coach others to challenge and disagree constructively, to drive decisions that deliver the highest-impact outcomes You thrive in a fast paced and ever-evolving environment; you adapt to change well (and in fact relish it!). You like to take real ownership of your work, drive yourself forward, and work well both autonomously but also collaboratively with the team and your stakeholders. What we're looking for from you Must have: Excellent leadership and team management skills. A strong background as a senior data science individual contributor, with commercial experience delivering ML solutions end to end Proven ability to influence technical direction across Data Science and Engineering, including shaping scalable model/service integration patterns and challenging proposals to drive robust, long-term solutions. Strong stakeholder management skills, with confidence communicating trade-offs and pushing back constructively to C-suite and senior stakeholders across different functions to ensure high-quality outcomes. Nice to have: Experience in insurance, fraud, or another regulated decisioning domain. Experience of contributing towards the strategy for Gen AI within an organisation, and leading data scientists to deliver Gen AI solutions that drove measurable business value Perks & benefits Bonus scheme designed to reward high performance Private medical insurance with Vitality, mental health support with Oliva Personal learning budget and 2 dedicated L&D days a year Monthly flexible benefits budget to spend as you choose 25 days holiday plus bank holidays 4 weeks Work From Anywhere per year Note: We cannot offer visa sponsorship for this role.

About Relation Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. The opportunity As Associate Director, Platform Engineering, you will lead the team responsible for the hybrid compute infrastructure, developer platform and scientific compute environments that power Relation's machine learning and drug discovery work. Reporting to the VP of Engineering, you will work closely with your team and peers across Engineering, Data Science and Machine Learning to define and evolve Relation's platform strategy. Our platform spans on-premises infrastructure and public cloud environments, supporting computational scientist notebooks through Kubeflow, model training and serving, internal services and genomic pipelines. You will set the technical direction across these areas, build and develop the team responsible for delivering them, and ensure our platform continues to evolve alongside the needs of our science. Day to day, you will Partner with the VP of Engineering and peers across Engineering, Data Science and Machine Learning to define and evolve Relation's platform strategy. Own the architectural strategy for our Kubernetes-based clusters and broader hybrid infrastructure, setting the technical standards and guardrails within which the team designs, builds and operates. Lead and develop the Platform Engineering team, hiring and retaining exceptional engineers, setting clear expectations and creating the conditions for them to do their best work. Own the scientific compute platform, ensuring it reliably and efficiently meets the evolving needs of our Machine Learning and Data Science teams. Drive the maturity of our CI/CD pipelines, internal services and developer tooling, treating the platform as a product and our internal engineers and computational scientists as its customers. Establish comprehensive observability and robust disaster recovery and failover strategies across on-premises and cloud environments. Own Relation's platform security controls, including IAM, secrets management, network policy and vulnerability management, ensuring the platform meets the data governance standards required of a clinical-stage biotech working with sensitive patient-derived data. Professionally, you will have Significant experience in platform, infrastructure or DevOps engineering, with a strong track record of building and operating complex production environments. Experience leading engineers, either formally or informally, with responsibility for significant workstreams from strategy through to delivery. You have set technical direction others have followed, mentored and developed engineers, and taken accountability for live production systems. Strong hands on operational experience. You have participated in on call rotations for production infrastructure, led responses to significant incidents and driven the subsequent changes required to prevent recurrence. Deep expertise in Kubernetes, alongside experience operating infrastructure across hybrid on premises and cloud environments. Experience building, running or evolving MLOps infrastructure, ideally including notebook environments such as Kubeflow, GPU compute for distributed training and model serving. Familiarity with batch compute for data intensive scientific workloads, with an understanding of the reliability, scalability and reproducibility requirements of scientific data pipelines. A track record of maturing CI/CD pipelines, developer tooling and observability across complex, multi environment platforms. Strong security fundamentals, with hands on experience designing and implementing appropriate security controls. Excellent written and verbal communication skills, with the ability to co own strategy with senior stakeholders, challenge decisions constructively and communicate platform strategy clearly to both technical and non technical audiences. Bonus Experience: Exposure to relevant compliance and governance frameworks, such as ISO 27001, SOC 2 or GDPR within a research or scientific environment. Personally, you Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams. Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work. Technically deep enough to earn the respect of a highly skilled engineering team, while being equally comfortable influencing and contributing at leadership level Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect. Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams. Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes. Working Style & Culture at Relation At Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! Recruitment Agencies Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs.

Senior AI Risk Technical Advisory Lead Location London Business Area Legal, Compliance, and Risk Ref # Description & Requirements Description The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast, while keeping up the quality and accuracy we are known for. It is what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We bring out the best in each other through collaboration. Through our countless volunteer projects, we also help network with the communities around us. You can do amazing work here. Work you could not do anywhere else. It is up to you to make it happen. Bloomberg's Chief Risk Office plays a central role in ensuring that innovation is pursued responsibly across our global operations. As AI becomes increasingly embedded in Bloomberg's products, platforms, internal workflows, and client-facing capabilities, the Chief Risk Office is building practical advisory capabilities that help technical and product teams identify, assess, mitigate, and monitor AI risks throughout the lifecycle. What's the role? We are seeking a Senior AI Risk Technical Advisory Lead to serve as a senior subject matter expert for AI risk and responsible AI across Bloomberg. This person will work closely with engineering, product, data science, legal, compliance, CISO, privacy, and risk stakeholders to provide practical, technically credible guidance on AI use cases, AI systems and data-related controls, risk assessments of AI systems, risk/control evaluation of third-party AI solutions, and AI regulatory expectations (e.g., EU AI Act) and industry standards. This role is designed for a senior practitioner who can bridge technical AI implementation and enterprise risk oversight. The person may have a matrixed or dual-reporting relationship to a technology or product-facing risk advisory leader to ensure strong connectivity with AI builders and front-line advisory teams, while maintaining alignment with the Chief Risk Office's enterprise AI risk team. We'll trust you to: Technical AI Risk Advisory Provide senior-level technical advisory support for AI and generative AI use cases across Bloomberg, including product, platform, internal tooling, automation, and third-party AI solutions. Evaluate AI risks related to bias, explainability, hallucination, robustness, model drift, data leakage, privacy, security, intellectual property, misuse, transparency, and human oversight. Advise teams on appropriate controls, testing, monitoring, documentation, and risk mitigation strategies based on use case, data sensitivity, model type, deployment context, and regulatory exposure. Review complex or higher-risk AI use cases and provide risk-based recommendations to governance forums and senior stakeholders. Help define practical technical standards for responsible AI development, testing, validation, deployment, monitoring, and retirement. Framework and Control Development Partner with the Head of AI Risk Management to mature Bloomberg's AI risk management framework, including classification, risk tiering, assessment methodology, control expectations, and monitoring standards. Translate external frameworks and regulatory expectations into practical internal control guidance for technical and product teams. Develop reusable advisory materials, playbooks, review criteria, technical checklists, and model documentation expectations. Support the development of risk indicators and monitoring approaches for AI systems, including performance, drift, hallucination, bias, security, user feedback, and issue trends. Cross-Functional Partnership Partner deeply with Technology, Product, Data, Legal, Compliance, CISO, Privacy, Procurement, and business teams to address emerging AI risks. Facilitate technical risk discussions and help resolve questions where product goals, engineering constraints, legal obligations, and risk appetite intersect. Serve as a senior escalation point for complex AI risk questions and emerging responsible AI issues. Support AI risk governance forums, executive updates, regulatory inquiries, and internal reviews. Enablement and Thought Leadership Serve as a trusted internal subject matter expert on responsible AI, technical AI risk, and AI control design. Develop and deliver training, guidance, and awareness materials for technical and non-technical stakeholders. Monitor developments in AI technology, AI regulation, industry standards, and emerging risk practices, and translate them into actionable program enhancements. You'll need to have: 10+ years of experience in AI/ML, data science, machine learning engineering, technology risk, model risk, security risk, data risk, or responsible AI. 4+ years of experience directly focused on AI/ML risk, AI governance, model governance, model validation, responsible AI, or technical advisory for AI systems. Strong technical understanding of AI/ML and generative AI systems, including model development, model evaluation, data pipelines, embeddings, retrieval-augmented generation, prompt engineering, monitoring, drift, robustness, explainability, and safety testing. Demonstrated ability to assess technical AI risks and recommend practical controls in complex enterprise environments. Hands-on familiarity with generative AI platforms and tools, open-source models, vector databases, or related AI infrastructure. Experience partnering with engineering, product, data science, legal, compliance, privacy, security, and risk stakeholders. Strong understanding of privacy, security, data governance, and regulatory issues relevant to AI systems. Excellent communication skills, including the ability to explain technical AI risks to senior stakeholders and translate governance expectations for technical teams. We'd love to see: Experience working directly with AI/ML development teams on production systems. Experience in financial services, market data, media, enterprise technology, cloud, or other data-intensive environments. Familiarity with NIST AI RMF, ISO/IEC 23894, EU AI Act, OECD AI Principles, model risk management, or responsible AI frameworks. Experience with AI red teaming, model evaluation, bias testing, explainability tooling, monitoring tools, MLOps, LLMOps, or AI governance platforms. Experience advising on third-party AI tools, enterprise AI platforms, or AI-enabled vendor solutions. Certifications or advanced training in AI/ML, data science, privacy, information security, risk, or compliance. A pragmatic approach to enabling innovation while managing risk. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

End Date Wednesday 02 September 2026 Salary Range £92,701 - £109,060 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description Summary . Job Description JOB TITLE: Senior Lead Data & AI Scientist SALARY:£92,701 - £108,000 LOCATION(S): Manchester HOURS: Full Time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of your time, at one of our office sites. About this opportunity Do you want to shape how AI, machine learning and agentic technologies improve the financial wellbeing of millions of customers? As a Senior Lead Data Scientist and AI & Machine Learning Engineer within our Financial Wellbeing Platform, you'll play a leading role in defining and delivering innovative AI solutions that help colleagues and customers make better financial decisions. You'll work across predictive AI, generative AI and intelligent agent technologies, combining deep technical expertise with strategic leadership to deliver solutions safely, responsibly and at scale! You'll help define our AI capability roadmap, influence technical direction across multiple teams and support the growth of data science and AI engineering capability across the Platform! This is an opportunity to work with talented colleagues, solve meaningful problems and influence how AI is applied at enterprise scale. You'll join a collaborative environment where learning, innovation and continuous improvement are encouraged, and where you'll have the opportunity to make a genuine impact through your work. In this role, you'll: Lead the design, development and optimisation of AI and machine learning solutions that address complex business challenges. Own delivery across the end-to-end AI lifecycle, from experimentation and model development through to deployment, monitoring and continuous improvement. Provide technical leadership across large, multi-team programmes, helping teams make sound engineering and architectural decisions. Partner with product, engineering, data and business teams to deliver scalable AI-powered products and services. Embed responsible AI, governance and risk management practices throughout development and deployment activities. Coach and develop data scientists and AI engineers, supporting capability growth and knowledge sharing across the wider organisation. Why Lloyds Banking Group? Like the modern Britain we serve, we're evolving. Investing in our people, data and technology to transform how we support customers and communities. We're growing our AI and machine learning capability to help shape the future of financial services. What you'll need We're looking for someone who combines advanced data science expertise with software engineering capability and technical leadership experience. Specifically, we're interested in: Data Science: Extensive experience developing, tuning and evaluating machine learning models and AI solutions in production environments. Machine Learning: Deep understanding of modern machine learning techniques, model deployment, monitoring and optimisation practices. Software Engineering: Strong capability building production-ready services using Python, SQL and modern engineering practices, including APIs, event-driven architectures and microservices. Technology Leadership: Experience providing technical leadership across complex, multi-team deliveries, influencing strategy and enabling high-quality outcomes. Critical Thinking: Ability to solve complex problems, analyse information effectively and make informed decisions in ambiguous environments. Stakeholder Management: Ability to communicate technical concepts clearly and build effective partnerships across engineering, product and business stakeholders. These requirements reflect the role's focus on AI delivery, technical leadership, software engineering, machine learning and enterprise-scale data science capability. And any experience of this would be really useful. Building agentic AI solutions, LLM-powered applications and retrieval-augmented generation (RAG) architectures. Experience with Vertex AI Agent Builder, Agentspace, LangGraph or multi-agent frameworks. Knowledge of responsible AI, model governance and risk management practices within regulated environments. Experience working within financial services or other highly regulated industries. Exposure to Azure, AWS or multi-cloud environments. Building technical communities, mentoring programmes or engineering guilds. About working for us Our ambition is to be the leading UK business for diversity, equity and inclusion, supporting our customers, colleagues and communities. We're committed to creating an environment where everyone can thrive, learn and develop. We welcome applications from people with a broad range of backgrounds, experiences and perspectives. We provide reasonable adjustments throughout the recruitment process and in the workplace to reduce or remove barriers. As a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role and have a disability, long-term health condition or neurodivergent condition through the Disability Confident Scheme. If you need any adjustments during the recruitment process, please let us know. Benefits A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Ready for a career where you can help shape the future of AI in financial services while learning, growing and making a positive impact? About Lloyds Banking Group At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future. For more Flexible Working Options please use the free text search, e.g. job sharing, variable hours, to identify relevant matches.

Role: Product & Account Lead Contract: Contract 6-12 months, Hybrid (ASAP start) Salary: Competitive Location: Greater Oxford Area A note from the Founders Oxford Dynamics is at an inflection point. We have spent five years building AI and robotic systems for some of the most demanding environments in the world. We are now taking that technology into the private sector, and life sciences is where we are starting. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with all the team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day in the work we do. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics (OD) is a fast-growing UK deep-tech company developing AI and robotic systems designed to operate in mission-critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi-modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real-world environments. Alongside our defence and security work, we are building a private sector business applying the same technology to scientific and industrial problems. Our biotech partnership is the flagship of that effort - using AVIS to help researchers navigate vast, fragmented scientific data and get to answers faster. What you will be doing here / why this role matters Oxford Dynamics is a small team who rely on a collaborative and positive approach, and so the right attitude for this role is equally as important as experience. We are at an important stage and time in our growth, and as our Product & Account Lead you will be an essential part of our success. This is a role with a name on it. You will own our biotech account outright - the client relationship, the product, the team that builds it, and how the account performs commercially. You will be the person the client calls and the person our engineers look to for direction. There is no established playbook here; you will be writing it. If you are excited by owning a client relationship, shaping a product, and growing an account from first deployment to long-term partnership, this role is built for you! Role Summary Oxford Dynamics seeks a Product & Account Lead to own our biotech account end to end. You will hold the client relationship, set product priorities from client and market needs, direct the internal delivery team, and carry responsibility for the commercial performance and growth of the account. The role bridges cutting-edge AI and practical deployment, making sure what we build lands with real users, gets adopted, and turns into a scalable long-term partnership. This is a private sector role. No security clearance is required. Key Responsibilities Own the Biotech Account Act as the primary point of contact for the client, building trust at every level from day-to-day users through to senior stakeholders. Set and manage priorities with the client, keeping expectations, scope and commitments clear and realistic on both sides. Run communication end to end: regular updates, structured reviews, honest escalation when something slips, and no surprises. Own delivery into the account, from what is promised through to what actually ships and gets used. Take responsibility for overall account performance - health, satisfaction, renewal risk and commercial outcomes - and report on it to leadership. Lead the Product and Team Manage the internal team delivering the account, setting direction, sequencing work and keeping momentum going. Translate client feedback and market needs into a clear product roadmap, deciding what gets built next and why. Coordinate resources across engineering, AI, design and commercial functions, flagging constraints early and resolving competing demands. Ensure everyone is aligned on responsibilities and outcomes, so each person knows what they own and what good looks like. Partner with Tech Leads on design and architecture trade-offs, aligning what is technically ambitious with what the client actually needs. Drive Delivery and Scale Own project plans, milestones and deadlines, managing scope, risk and change control to deliver on time and within cost. Identify growth opportunities within the account and pursue them, expanding usage into new teams, workflows and use cases. Increase adoption and revenue, tracking the metrics that show the product is genuinely embedded in the client's work. Solve problems independently, making decisions with incomplete information and escalating with options rather than open questions. Build a scalable long-term account, replacing one-off effort with repeatable process so the relationship grows without breaking. Reporting and Ways of Working Run lightweight Agile ceremonies appropriate to the team, with clear acceptance criteria and measurable outcomes for each increment. Produce crisp client and leadership reporting, acting as the single point of contact to unblock issues across internal teams, suppliers and stakeholders. Oversee vendor and subcontractor deliverables, ensuring integrations meet contractual, performance and quality requirements. Uphold data handling, confidentiality and quality standards appropriate to working with sensitive commercial and scientific data. Skills and Experience 5+ years managing AI projects with multiple stakeholders, delivering production releases in fast-moving environments. Proven ownership of a client relationship end to end, including commercial responsibility for how that account performs. Background in biotech, pharma or life sciences - understanding the requirements of our customers and speaking their language. Track record translating customer and market needs into product priorities that engineering teams can execute. Experience leading or coordinating technical teams, with the credibility to discuss trade-offs with engineers. Comfortable around modern AI and software stacks - LLMs, RAG, data pipelines, Python and React or equivalent - without needing to write the code yourself. Strong scope, requirements and budget control, with practical command of milestones, risk and change control. Genuinely self-directed: comfortable operating without a playbook and building the process as you go. Preferred / Bonus Experience growing an account through expansion, upsell or renewal, with measurable adoption and revenue outcomes. Portfolio of shipped AI or software products with measurable outcomes and references you can point to. Familiarity with scientific or research data, or with regulated environments. Comfort presenting to senior stakeholders and contributing to business development activities and proposals. Soft Skills High-agency ownership from first conversation to long-term partnership, with a bias to clarity, iteration and decision-making under uncertainty. Excellent communication across technical and non-technical audiences - scientists, engineers and executives alike - enabling fast, safe progress across disciplines. Commercial instinct: able to spot where value sits for the client and turn that into growth for the account. Calm, structured problem-solving during incidents and changing constraints, with clear follow-through on actions and learning. What We Offer Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title, you'll get to make a real difference and learn from colleagues about all areas of our business. Benefits include: Competitive Day Rate - outside IR35 Flexible working hours Hybrid working model Generous 29 days holiday in addition to public holidays (Full Time Equivalent) Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.