738 jobs found

Enterprise Cybersecurity Analytics Engineer Join a leading Cybersecurity Science & Analytics team building advanced data-driven solutions to tackle evolving cyber threats. You'll work with cybersecurity specialists, data scientists, and engineers to develop innovative analytics, AI/ML models, and scalable data platforms. Role Overview A senior technical position focused on designing and delivering advanced analytics solutions for cybersecurity. You'll contribute to rapid prototyping, production engineering, and innovation across data, AI, and security domains. Key Responsibilities Build and optimise data pipelines, datasets, and analytics platforms Develop AI/ML models, detections, and security automations Support cloud platforms and production environments Conduct R&D on emerging technologies and cyber threats Collaborate with teams to deliver data-driven cybersecurity solutions Respond to urgent security threats and vulnerabilities Skills & Experience Strong background in data engineering, analytics, or software development Experience with cloud platforms (Azure preferred), big data tools (eg Spark, Databricks), and Python Knowledge of cybersecurity domains (eg network, cloud, threat detection, incident response) Experience in AI/ML, data science, or advanced analytics Ability to build scalable data products and security applications Requirements Degree in Computer Science, Data Science, Engineering, or related STEM field (or equivalent experience) Strong problem-solving skills and eagerness to learn

We are seeking a Senior Data Engineer to join our Azure native data team in a leading UK financial services firm. This role is key to maintaining and evolving our data platform, supporting both ongoing enhancements and greenfield development. You will work on data integration, ETL pipelines, analytics, and AI driven insights, ensuring robust data solutions that support business growth. This is a hybrid role, with an expectation of three days per week working from the Birmingham office and at least monthly travel to London or other offices. You will design, build and optimise data pipelines, data models and analytics solutions across SQL Server, Azure Data Lake and Power BI and lead the strategic migration to Microsoft Fabric as the data Platform. You will also support a production Azure Synapse Analytics environment to ensure current business requirements continue to be met. You will work within an Agile Scrum framework, delivering work through the Azure DevOps backlog, and will help integrate machine learning and AI models into our data processes as we expand our advanced analytics and insight capabilities. The Senior Data Engineer will coach and mentor Data Engineers and Power BI developers, enhancing their expertise and capability. You will provide design and engineering leadership to build, maintain and shape the future data architecture. Collaboration is central to the role. You will work within an Agile Scrum environment, using Azure DevOps for backlog management and version control, and contributing to mentorship and knowledge sharing within the team. This is an opportunity to make a real impact in a small, skilled team, helping shape the firm's data strategy and capabilities. Technical Skills Data Integration & ETL Data Engineering & Platforms: Strong experience designing and delivering data pipelines, data models and analytics solutions with a Microsoft Fabric first mindset, helping to accelerate adoption of Fabric (e.g. Lakehouse, Warehouse, OneLake), while also supporting and enhancing existing SQL Server, Azure Data Lake and Azure Synapse Analytics environments in production. Integrate multiple external and internal systems data sources into Fabric Data Platform. API integration experience is necessary. ETL Development: Skilled in designing and optimising ETL workflows, with knowledge of best practices for data transformation, validation, and loading. Data Analytics & Machine Learning Power BI: Proficiency in developing, publishing, and managing Power BI reports and dashboards, with strong data visualisation skills. SQL & Data Management: Advanced knowledge of SQL for querying, transforming, and managing data, with hands on experience in SQL Management Studio. Azure Machine Learning: Some experience desirable in implementing machine learning models within Azure Machine Learning to enhance reporting and predictive analytics. Data Storage & Processing Azure Data Lake: Knowledge of Azure Data Lake for efficient storage and retrieval of large datasets. Azure Synapse Analytics (Familiarity): Familiarity with Azure Synapse, with the potential to transition to it for complex data processing needs in the future. AI Integrations ChatGPT / Copilot Integrations: Experience integrating with ChatGPT or Microsoft Copilot to automate data processing or enhance analytical insights. Version Control & Collaboration Source Control: Experience with Git or other version control systems, ideally within Azure DevOps for seamless integration with CI/CD. Azure DevOps Backlog & Agile: Skilled in working with an Agile Scrum framework, including managing work items in Azure DevOps and completing deliverables within a 2 week sprint cadence. Soft Skills Documentation & Knowledge Sharing: Excellent documentation practices for data pipelines, analytics models, and processes, ensuring knowledge transfer and transparency. Mentorship & Leadership: Committed to mentoring data engineers, providing guidance on best practices, technical skills, and professional development. Problem Solving & Adaptability: Capable of resolving complex data challenges and adapting solutions to changing business requirements. Collaboration & Communication: Strong communication skills for working effectively with cross functional teams, including data scientists, product teams, and stakeholders. Financial Services sector and specifically Wealth Management experience or working in a highly regulated sector will be an added advantage.

Why Socure? Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading. About the Role The Big Data R&D team is responsible for building the core identity graph and entity-resolution capabilities that power Socure's KYC and compliance products. In this role, you will help develop graph-based algorithms and data pipelines on massive PII datasets, support modelers with high-quality features, and evaluate new data sources that feed our identity and fraud products. You will work closely with senior data scientists and engineers while developing your skills in large-scale ML, distributed systems, and graph analytics. What You'll Do Contribute to the design and implementation of machine learning, data mining, statistical, and graph-based algorithms to analyze very large datasets for identity verification and anomaly detection. Analyze large datasets to help develop and refine entity-resolution and identity-matching algorithms that drive Socure's KYC and compliance solutions. Build and maintain components of data-processing pipelines (ETL, feature generation, normalization) using tools such as Spark/PySpark and AWS (e.g., EMR, S3). Support senior data scientists with feature engineering, data exploration, error analysis, and A/B test setup for new models and signals. Help evaluate new third party and internal data sources: profile data quality, design offline experiments, and summarize impact on coverage and model performance. Implement and maintain SQL and Python/R code for data extraction, transformation, and validation; contribute to code reviews and basic testing. Provide analytical support to compliance and regulatory product teams, including ad hoc investigations, simple dashboards, and data deep dives. Communicate findings in a clear, structured way to peers and cross functional partners (Product, Engineering, Client Analysis), focusing on key insights and trade offs. Work effectively in a fast paced, cross functional environment; demonstrate ownership of well-scoped tasks and follow through to completion. What You Bring Master's degree with 2+ years of experience, or Ph.D. with 1+ years of experience in a data science or analytics role, or equivalent practical experience. Proficiency in at least one general-purpose programming language used in data science (Python, or Scala). Solid experience writing and optimizing SQL for large datasets; comfort working in data lake / warehouse environments. Hands on experience with Spark or PySpark and common ML libraries (e.g., scikit learn, XGBoost, TensorFlow/PyTorch a plus). Familiarity with UNIX environments and the AWS ecosystem (e.g., EMR, S3); Databricks experience is a plus. Working knowledge of supervised/unsupervised ML and basic statistics (similarity measures, clustering, evaluation metrics). Exposure to graph techniques or graph databases (Neo4j, AWS Neptune, GraphFrames) is a strong plus. Bonus: experience with Elasticsearch or DynamoDB; workflow tools such as Airflow for automating data pipelines. Ability to break down loosely defined problems, ask good clarifying questions, and iterate quickly with feedback. Note: sponsorship is not available at this time; and that you must be located within 45 miles of a talent hub to be considered. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.

Client-facing R&D Generative AI Architect Trending Job Info Job Identification 11937 Posting Date 03/26/2026, 11:20 AM Job Role AI Engineer-AI Solutions Architect Experience (In Years) 6-9 Job Location London Job Description EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit . Role Title: Client-facing R&D Generative AI Architect BU/Segment: Digital Location: London, United Kingdom (Flexible hybrid working) Employment Type: Permanent Summary of the role We are seeking a visionary and technically adept Assistant Vice President (AVP) in EXL's AI Innovation & R&D team to spearhead our innovative client-facing initiatives in the rapidly evolving fields of Generative and Agentic AI. This high-impact, senior consulting role requires a unique blend of deep technical expertise in AI solutioning and deployment, Fortune 500 client stakeholder management skills, and the ability to drive thought leadership. You will be instrumental in advising Insurance, Healthcare, and Banking clients, designing cutting-edge AI solutions, leading complex implementations, and shaping EXL's strategy and market presence in Generative and Agentic AI. You will collaborate closely with data science, technology, business development, and client teams to identify opportunities, architect robust solutions, and deliver transformative results. As part of your duties, you will be responsible for: AI Architecture Innovation Research & Design: Focus on new innovative methods of designing and architecting AI and GenAI systems and be able to grasp and adapt monthly and weekly AI innovation coming out in the industry and apply it to our clients' use cases and needs in new modern ways. Client Advisory & Solutioning: Engage directly with senior client stakeholders (including C suite) to understand complex business challenges, identify opportunities for GenAI and Agentic AI, and define project scope. Workshop Facilitation: Design, lead, and facilitate high-impact client workshops and strategy sessions focused on identifying and prioritizing Generative and Agentic AI use cases and roadmap development. Technical Leadership & Architecture: Design, architect, and oversee the development and deployment of scalable, robust, and cutting edge Generative AI and sophisticated Agentic AI systems (including multi agent workflows) for client and internal projects. Project & Engagement Leadership: Lead large scale, complex Generative AI and Agentic AI projects from strategic conception through successful deployment, managing cross functional teams (internal and client side) and ensuring timely delivery of high quality solutions. Technical Mentorship: Mentor and guide technical teams (data scientists, data and AI engineers) in best practices for advanced AI development, deployment, MLOps/LLMOps, and agentic system design. Stakeholder Management: Build and maintain strong relationships with key internal and external stakeholders, effectively communicating complex technical concepts and project progress. Quality & Best Practices: Ensure adherence to rigorous software engineering principles, Agile methodologies, and responsible AI practices throughout the solution lifecycle. Stay Current: Maintain deep expertise in the latest trends, research, tools, and technologies within Generative AI, Large Language Models (LLMs), and Agentic AI paradigms. Qualifications and experience we consider to be essential for the role Programming & Libraries: Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). AI driven SDLC: Claude Code, Codex. Experience using Cursor, Windsurf, Replit, and Github Copilot. Google Stitch. LLM Expertise: Proven experience developing applications leveraging state of the art LLMs (e.g., GPT series, Llama series, Mistral, Claude) including prompt engineering, fine tuning, and evaluation. GenAI & Agentic Frameworks: Hands on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex, Langfuse) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph, OpenClaw, NemoClaw, agent planning, tool use integration, multi agent collaboration). AI Architecture: Deep understanding of AI/ML system architecture patterns, including microservices, event driven architectures, and patterns specific to RAG (Retrieval Augmented Generation), Graph RAG, Agentic RAG, and multi agent systems. Data: Knowledge of industry approaches to data engines and data labeling like Scale.ai and Mercor. Experience with auto data labeling and synthetic data generation techniques. Vector Databases & Embeddings: Expertise in working with various embedding models and vector databases (e.g., Pinecone, Weaviate, Chroma, FAISS). Advanced AI Concepts: Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, autonomous agent design, and evaluation methodologies for complex AI systems. Software Engineering: Strong foundation in software engineering principles for building scalable, maintainable, and production ready AI systems. Cloud Platforms: Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services. LLMOps/MLOps: Expertise in designing and implementing robust MLOps/LLMOps pipelines for automated testing, CI/CD, monitoring, and governance of complex AI models and applications. Leadership & Communication Proven ability to lead and motivate diverse, global teams Excellent communication skills, capable of explaining complex AI concepts to various stakeholders Strong project and program management skills and experience working in Agile environments Qualifications Education: Bachelor's degree in Computer Science, AI, Machine Learning, or a related quantitative field. Master's or Ph.D. strongly preferred. Experience: Minimum 10 years of experience in AI/ML/Data Science, with at least 5 years in significant leadership roles involving solution architecture, team management, and project delivery. Deployment Success: Demonstrated track record of successfully architecting and deploying large scale AI projects, preferably including complex GenAI and/or Agentic AI applications in enterprise or client settings. Consulting Background: Prior experience in technology consulting or a client facing technical specialist role within a technology provider is highly advantageous. Global Experience: Experience working effectively with global teams across multiple geographic locations is a plus. As part of a leading global Data and AI company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4x your annual salary, income protection insurance, and a rewarding pension. EXL provides everyday financial well being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom.

Senior Engineering Manager - Machine Learning United Kingdom We are on a mission to pioneer the world's next era of play. As we grow across Europe and Latin America, we're building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us and help make it the most widely used platform in the world! About the role We're looking for a hands on and motivated Senior Engineering Manager for Applied Machine Learning & Research to support the development and delivery of machine learning systems at Super Technologies. By combining cutting edge applied machine learning, foundational research, and seamless ML operations, the team harnesses data to revolutionize the online gambling and sports betting experience. The role balances technical contribution, project coordination, and people management. Responsibilities Technical Expertise Design, develop and deploy advanced machine learning models to solve complex business problems. Stay updated with the latest trends and advancements in machine learning and AI technologies. Conduct code reviews and enforce best practices in model development and deployment. Project Management Manage and prioritise machine learning projects to align with business goals. Ensure timely delivery of high quality machine learning solutions. Coordinate with cross functional teams to integrate models into production systems. People Management Lead and mentor a team of 4 5 data scientists and ML engineers, providing guidance and support. Oversee the execution, development, growth and performance of the ML team. Foster a collaborative and innovative team environment while building strong partnerships with product management and stakeholders. Qualifications Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field. Proven experience (4+ years) in machine learning and data science roles. Proven experience (2+ years) leading/managing engineering teams and supporting the growth and performance of engineers. Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Experience with cloud computing platforms primarily AWS and containerisation technologies (e.g., Docker, Kubernetes). Excellent problem solving skills and the ability to work independently and collaboratively. Strong communication and interpersonal skills. Preferred qualifications Experience in the gaming or entertainment industry. Experience working with tools and technologies such as Spark, Snowflake, Qwak, MLFlow, Airflow, etc. Contributions to open source AI/ML projects or participation in AI/ML competitions. Experience with training and fine tuning large scale foundation models (e.g., GPT, BERT, T5) for various tasks. Publications in top AI conferences such as AAAI, IJCAI, NeurIPS, ICML, ICLR. This role is open for applications. If you are ready to lead a talented team and shape the future of play, we encourage you to apply.

Scott Logic is an independent software consultancy helping some of the world's most complex organisations solve hard technology problems. We work across financial services, public sector, and beyond - building high-quality, bespoke software, data, and AI solutions with small, expert teams. We offer a wide range of services, including software development, user experience (UX) design, data engineering, data visualisation, AI, and financial technology consulting. We pledge to develop high-quality software solutions tailored to meet the unique requirements of each client. This is a hands on, client facing role, offering the opportunity to be involved in the full development lifecycle, delivering mission critical projects for high profile global organisations. You'll work in small, expert multidisciplinary teams, typically embedded with the client, navigating complex delivery challenges across software engineering, data, and AI programmes. We like our teams to have high levels of freedom and value collaboration and pragmatism. What you will find yourself doing: Leading the delivery of complex technology projects for clients, taking accountability for scope, schedule, budget, and quality throughout the engagement Building and maintaining strong, trust based client relationships - acting as a credible delivery partner at senior stakeholder level Working within small, expert multidisciplinary teams, typically embedded with the client, to navigate challenging delivery environments across software engineering, data, and AI programmes Taking responsibility for project financials, forecasting, and reporting to achieve targeted commercial outcomes Supporting the onboarding of consultants to projects; working with line managers to assess project fit and set people up for success Undertaking line management of assigned consultants, including performance feedback, annual reviews, and ongoing development conversations Contributing actively to Scott Logic's delivery community - sharing lessons learned, developing toolkits, and helping shape how we deliver at scale What we're looking for: Proven experience managing software development projects using Agile frameworks, with a solid understanding of Waterfall based delivery and when each is appropriate Experience delivering data or AI enabled programmes - understanding the iterative, experiment led nature of these engagements and how delivery approaches may need to adapt Familiarity with AI assisted tooling within the SDLC - such as code generation, automated testing, or delivery intelligence tools - and genuine curiosity about how these capabilities are evolving Programme level experience, coordinating across multiple workstreams, suppliers, or delivery teams, would be advantageous A track record of leading and motivating high performing software delivery teams, including distributed or hybrid teams Experience working with or managing teams that include data engineers, data scientists, or AI and ML practitioners Comfort operating in a consultancy environment - managing competing client and internal demands, contributing to business development, and representing Scott Logic professionally What can we give to you? Hybrid working and no overtime. Our people promise devoted to putting our people first. Specific holiday and leave entitlement for every circumstance. Social clubs and groups including but not limited to, Video/Board games, Cycling/Running clubs, Book clubs, Friday bar's and so much more. An environment where ideas are welcomed and explored with detail. This role is based in our city centre office and is likely to involve occasional travel (infrequent day trips or a few days at a time) to visit our clients, across the UK and beyond. If you are interested in more travel, then opportunities are available, we are open to conversation on this. We are mindful of the imbalances in our sector. We celebrate multiple and varied approaches and points of view. We believe diversity drives innovation and we embrace a culture where everyone can contribute irrespective of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability.

The Role The role sits at the intersection of software developer and data scientist and gives you considerable responsibility and ownership of your path. At the core, it involves: Data engineering and analysis - extending the data pipeline which feeds our carbon market dashboard and bespoke analytics platform Developing the back end code and infrastructure for the API - providing access to our offsets data to external clients Contributing to full stack projects, developing products both internally and for clients - from web apps to visualise bespoke data requests, to more sophisticated apps that support the flow of alternative finance to emerging markets Responsibilities Extending and maintaining the codebase for the data pipeline which feeds into our carbon offsets database Data gathering, processing and analysis; researching and implementing ways to unlock data from new sources (public websites, APIs, .pdf reports, etc.) Building out the functionality of our public API: adding tighter integration with our data pipeline and additional microservices to handle new client requests Overseeing the implementation of security and DevOps best practices for the deployment of our products Working closely with researchers, clients and other developers to understand this fast moving field Setting the technical direction of the company, in collaboration with senior management Developing awesome products and tools for clients, such as bespoke data dashboards or custom clients to integrate with our API Technologies Python - primary language for data engineering, analysis and back end development JavaScript - used for front end development (Vue or similar frameworks) Web frameworks: Flask, Django, FastAPI, Vue Machine learning tools: PyTorch, TensorFlow (optional) Databases: PostgreSQL (knowledge and/or willingness to learn) DevOps: Heroku, AWS, GCP or other cloud hosting platforms Data analysis libraries: pandas, scikit learn, numpy, nltk, matplotlib, jupyter Minimum Qualifications At least 3 years of professional experience as a back end developer (or equivalent independent projects) Significant experience with data engineering or data intensive back end applications, including cleaning and processing complex data Experience maintaining, building and deploying REST APIs with Flask, Django or FastAPI Solid understanding of relational databases and experience with PostgreSQL Proficiency in security best practices for developing and maintaining APIs, including handling sensitive data DevOps experience with a modern cloud hosting platform (Heroku preferred, AWS, GCP welcome) Experience with Python libraries for data analysis: pandas, scikit learn, numpy, nltk, matplotlib, jupyter Strong communication skills on both technical and non technical levels and the ability to mentor junior developers Preferred Qualifications Experience with Vue or another similar JavaScript framework Experience with simple NLP methods using Gensim and scikit learn Knowledge of testing methodologies and a commitment to automated testing Experience with microservices architecture Perks Early stage startup with tremendous growth potential Small, agile team with flat hierarchy and freedom to shape the role Considerable autonomy to work on side projects Budget towards a new computer Flexible working or an office in central London when desired Competitive salary Workplace pension

AI Controls Senior Manager page is loaded AI Controls Senior Managerlocations: Leeds Wellington Place: Edinburgh Citymark 150 Fountainbridgetime type: Full timeposted on: Posted Todaytime left to apply: End Date: May 26, 2026 (13 days left to apply)job requisition id: 154493 End Date Monday 25 May 2026 Salary Range £92,701 - £109,060 Flexible Working Options Hybrid Working, Job Share Job Description Summary . Job Description JOB TITLE: AI Controls Senior Manager. SALARY: £92,700pa to £109,000pa plus an extensive benefits package. LOCATIONS: Leeds or Edinburgh. HOURS: Full-time WORKING PATTERN : Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites.Lloyds Banking Group puts customers at the heart of everything. Data & AI Science forms a key part of our strategy, and as the AI Controls Senior Manager you will be contributing to the largest ever transformation in this history of financial services and ensuring you are protecting our customers in the process. This is a fantastic opportunity to support the Insurance, Pensions & Investments (IP&I) business and play a pivotal role in transforming how the business area works. You'll help us protect our customers through the modernization of processes and tools - bringing innovation, automation, and advanced analytics to the heart of their decision-making.This is a key role sitting within our IP&I Chief Controls Office, where you'll be at the forefront of supporting IP&I to embed automation and Data Science ensuring appropriate controls exist on models and processes, enabling smarter, faster, and more scalable solutions. As the AI Controls Senior Manager, you will play a pivotal role in independently testing, reviewing and providing SME input and appropriate challenge and support for any IP&I AI models ensuring the customer is protected. This will also involve developing, operating and maintaining machine learning solutions to monitor and test appropriate outcomes for customers. You will provide technical leadership, shape the capability roadmap, and ensure the delivery of high-quality models. Your will be mentoring and guiding the AI controls team while fostering knowledge sharing and industry best practices. Your role would include the following activities: AI Controls: Lead the design and development of controls, identifying innovative ways to automate and enable the business to build AI models at scale without slowing down productivity or adding in unnecessary barriers. Apply appropriate data science techniques to develop and/or tune models and evaluate performance. You will own and evolve the IP&I AI control and monitoring framework. In addition to leading control testing, assurance and remediation tracking for AI use cases. Collaboration: Lead and work within cross-functional teams comprising of business leaders, product managers, risk specialists, data scientists, data engineers and ML/AI engineers Responsible AI Governance: Partner with the Group Responsible AI team to embed robust ethical principles, bias mitigation techniques, and regulatory compliance into all AI development workflows. You will represent IP&I at Group Governance meetings. Team Mentorship: Coach and mentor junior data scientists and AI engineers, helping to grow team capabilities and fostering a culture of continuous learning and curiosity. Continuous Learning: Maintain an active view of emerging tools and techniques. Develop proof-of-concepts to demonstrate new capabilities. Guide the team in solving complex AI use cases and improving existing approaches. You will develop AI models and analytics to strengthen control monitoring.We're investing billions in our people, places and tech to change the way we meet the needs of our 28 million customers. We're growing, and we'd love you to be part of the journey. About you We're keen to speak to candidates with experience who have strong skills in: Foundation Model Application: Minimum 5 years' experience with Foundation Models. Understands the theoretical underpinnings of Foundation Models and engages in creative problem-solving using them. Can prioritise decisions effectively, balancing innovation with practicality to solve complex challenges. Machine Learning: Experience to situationally assess and advise on the most appropriate Machine Learning solution to tackle existing and new scenarios. Troubleshoots and fixes model performance issues with the fitted models. Is able to use advanced methods such as forecasting, ensemble methods and model stacking. Python: Has a holistic understanding, with 5 years+ experience in Python and can make intuitive decisions in familiar contexts. Capable of implementing multi-threading and asynchronous programming using tools like threading and asyncio. Optimize performance using profiling tools and apply advanced debugging techniques. AI Literacy: Designing workflows that integrate AI, anticipating AI behaviour, and adapts usage creatively. Coaches others and contributes to AI strategy discussions. Control Testing : Experience of designing and applying appropriate controls and ideally have experience of testing, putting the customer at the heart of everything we do. Google Cloud Platform: Capable of end-to-end delivery of products on GCP following standard architectures and templates. Takes key decisions on implementation. Leadership: Have task and/or line managed teams of 10+ colleagues to deliver strategic initiatives.We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply. This is a place for you: Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities, and we're committed to creating an environment in which everyone can thrive, learn and develop. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative.We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme. We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need. 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

Contact information: If you would like further information or an informal chat about this role, please reach out to Jon Gee (Head of Data & Analytics-Office of Data & Analytics) via or Natalie Tolson (Associate Director-Office of Data & Analytics) via . About the role The Senior ODA Delivery Manager is a key role as the Trust leads up to and delivers the Electronic Patient Record implementation. The role plays an integral part in prioritisation, planning, and delivery of the Office of Data & Analytics work aligned with the Trust's strategic priorities. The manager works with senior colleagues to identify and refine key requirements, negotiates and agrees priorities among the ODA's Extended SLT, and takes these priorities into the ODA Multidisciplinary Squads (containing Data Engineers, Analytics Engineers, Analysts, Data Scientists, Data & Analytics Business Partners, Test Engineers, etc.) overseeing delivery through agile management techniques. The manager communicates progress and blockers and facilitates the delivery of squad work. The Senior ODA Delivery Manager should be: Aligned with Trust strategic priorities Confident challenging requirement alignment to strategic priorities A strong communicator Adept at communicating technically and non-technically A shrewd negotiator A strong project manager and leader Calm under pressure Able to motivate and enthuse Personable Main duties Drive the prioritisation and refinement of requirements Gain consensus between ODA extended SLT on priorities Take priorities into multi-disciplinary squads Manage the delivery of priority requirements within the squads Communicate progress back to ODA extended SLT and beyond Provide line management as necessary Essential person specification requirements Qualifications Educated to Masters Level or equivalent experience Certified Agile Qualification or strong knowledge and experience of agile practices, tools, and techniques Knowledge & Skills Extensive knowledge of digital industry standards and processes for planning and managing digitally enabled systems and services Understanding of equal opportunities and valuing diversity Excellent analytical and data/information management skills Excellent communication skills, including preparation and delivery of presentations, workshop design, facilitation, and effective inter-personal communication Excellent oral and written communication, including the ability to communicate complex ideas to diverse audiences Excellent leadership skills, able to adopt appropriate management and leadership strategies and styles Expert user of Microsoft packages (Word, Excel, PowerPoint, Outlook) Experience Proven experience delivering high quality digital projects and products that meet user needs Extensive experience using agile project management methods and techniques to drive delivery Experience configuring tools to support agile planning and delivery (e.g., & Trello) Proven experience challenging and removing barriers to service deliveryExperience scaling services into robust live operation Experience matrix-managing multi-disciplinary teams Extensive client-facing and stakeholder management experience with clients, stakeholders, and contractors Proven ability to balance multiple priorities and manage ambiguity Our benefits Access to the NHS pension plan Generous holiday allowance of 27 days plus bank holidays, increasing with 5 and 10 years of service Exceptional employee health and wellbeing services Onsite nurseries and childcare salary sacrifice scheme Home electronics scheme Cycle to work scheme - subject to eligibility criteria Car lease salary sacrifice scheme - subject to eligibility criteria Working carers support and advice, carers network and passport Flexible working options and family and carer-friendly policies Established staff networks, including LGBTQ+ and Race Equality Career progression, training and support Skilled worker sponsorship You can find out more about skilled worker and health and care visas on our careers site.

Join Proton and build a better internet where privacy is the default At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online. Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, and Proton Pass. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech's invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton's services have even been instrumental in saving lives by enabling secure and private communications in high risk situations. Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, from the world's top companies and universities. We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online. Hiring at Proton is highly selective, with less than 1 % of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You will have the opportunity to work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions. We have a global mindset and big ambitions but remain a start up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our open source projects here! The team We are looking for experienced Rust Engineers to join us across the board. We are currently hiring for the Payments and Drive teams. Payments - The goal of the Payments team is to enable revenue generation for the entire Proton ecosystem. This comes in the form of introducing new payment methods for users to architect our client libraries. This team has impact across all of Proton's products and is critical to the success of the business as a whole. Drive - Drive Foundation is the backbone of Proton Drive. We develop the Proton Drive SDKs, the core of all of Proton Drive's client applications as well as the cornerstone of Drive into other Proton applications, businesses, and third parties. We ensure that cross client and backend initiatives are executed with consistency and correctness; we also build and maintain the core documentation for Drive and define the architectural roadmap to evolve Drive's technology, both server side and client side. Tech Stack and Tools We use standard tools for communication and work organization (Git, GitLab, GitHub, GitLab CI, Jira, Confluence). Languages we see daily are C# and TypeScript. We also need to provide bindings for Swift and Kotlin, and we plan to add Rust to avoid the need to have two SDK implementations. We use Grafana and Prometheus to instrument our SDK, Sentry to get details issues from the SDK usage, GitLab CI for running tests including e2e tests written using Playwright for both SDKs, or GitLab in general to work on the code base. Purpose of the role As a Senior Rust Developer on our team, you will play a crucial role in designing, implementing, and maintaining components that power Proton Drive and Payments. You will work collaboratively in a cross functional team, including backend API, web frontend, Mac, Windows, and Android/iOS mobile developers, to ensure seamless integration and optimal performance across various client applications. What you will do As a Senior Rust Developer, you will: Job requirements Experience: 5+ years of professional software development experience, with a focus on Rust programming language. Rust proficiency: Strong expertise in Rust language features, concurrency, and ownership model. Web and/or mobile development: Experience in developing libraries for both web and mobile applications. Collaborative skills: Proven ability to work collaboratively in a team environment and excellent communication skills. Problem solving: Strong problem solving skills and the ability to troubleshoot issues efficiently. Security focus: Understanding of secure coding practices and a commitment to maintaining high levels of security and privacy. Version control: Proficient in using version control systems, preferably Git. Bachelor's or Master's degree: In Computer Science, Software Engineering, or a related field. Mobile development background: Experience with iOS (Swift) or Android (Kotlin) development, particularly building native mobile SDKs or integrating Rust libraries into mobile codebases. What We Offer Office First: Collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje, and Taipei. Technology: We provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals. Food: Lunch and snacks are provided by Proton every day at our offices. Transport: We will always support our employees with transport costs through subsidizing public transport, bike allowances, or parking spaces based on your office location. Stock Options: At Proton, we are all owners of the company and you get stock options when you join us. Flexible Working: You can define your own working hours as long as it works with team meetings. Learning and Development: We are committed to your professional growth. Proton offers various learning opportunities, including training programs, conferences and events, and continual learning. Employee Benefits: Comprehensive health insurance plans, competitive retirement savings options, generous vacation and leave policies, and wellness programs. Work that Matters: Proton is a community first organization, started with the support of a crowdfunding campaign and built with community input. To this day, Proton's only source of revenue is user subscriptions. Over 100 million people trust and support Proton, and we put our users and community first in everything we do. Read more about our impact here. Our Commitment to Diversity and Inclusion At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected. Candidate Privacy Notice When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills. If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at . Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

Solution Architect, Financial ServicesApplylocations: UK, Cambridge: UK, Remote: Switzerland, Remote: Germany, Remote: Netherlands, Remotetime type: Full timeposted on: Posted 8 Days Agojob requisition id: JRNVIDIA is a world leader in AI computing. Our innovations are transforming industries and powering the era of AI and accelerated computing. At NVIDIA, we believe in creating solutions that improve lives and contribute to a more sustainable future. Solutions Architects are trusted technical advisors to our customers. We work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence! We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key technical leads and developers to ensure successful adoption of NVIDIA based AI technology. Engaging with developers, quants, data scientists, IT managers and senior leaders is a significant part of the Solutions Architect role. What you'll be doing: Work with financial institutions and their technology ecosystem in leveraging NVIDIA's advanced technologies Provide technical guidance and support to internal teams and external stakeholders, ensuring effective ideation, research and developing solution prototypes, followed by a successful deployment. Work closely with product management, engineering, applied research and sales teams to develop and deliver comprehensive solutions. Stay updated on industry trends and advancements in hardware technologies to continually improve and innovate NVIDIA's software and data center solutions. What we need to see: BS/MS/PhD degree in Machine Learning, Computer Science, or related technical field. Minimum of 5 years of experience in AI and accelerated technologies. Background working within Financial Services firms. Expertise in writing code for training and/or inference for NVIDIA GPUs. Capable of working in a constantly evolving environment without losing focus. Self-starter with a passion for continuous learning and sharing findings across the team. Ways to stand out from the crowd: Demonstrated understanding of how GPU acceleration can be applied to financial workloads. Knowledge of software-defined infrastructure and orchestration tools (Kubernetes, OpenStack). Proficiency in cloud platforms (AWS, Azure, Google Cloud) and hybrid cloud solutions. Understanding of HPC systems: data center design, high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience.NVIDIA is one of the technology industry's most desirable employers. If you're a creative person with a genuine passion for AI in finance and accelerated computing, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We encourage diversity in candidates' profiles. If you think you have the relevant skills and experience for this job, we encourage you to apply even if you lack some of the requirements listed above.

Scott Logic is an independent software consultancy helping some of the world's most complex organisations solve hard technology problems. We work across financial services, public sector, and beyond - building high-quality, bespoke software, data, and AI solutions with small, expert teams. We offer a wide range of services, including software development, user experience (UX) design, data engineering, data visualisation, AI, and financial technology consulting. We pledge to develop high-quality software solutions tailored to meet the unique requirements of each client. This is a hands on, client facing role, offering the opportunity to be involved in the full development lifecycle, delivering mission critical projects for high profile global organisations. You'll work in small, expert multidisciplinary teams, typically embedded with the client, navigating complex delivery challenges across software engineering, data, and AI programmes. We like our teams to have high levels of freedom and value collaboration and pragmatism. What you will find yourself doing: Leading the delivery of complex technology projects for clients, taking accountability for scope, schedule, budget, and quality throughout the engagement Building and maintaining strong, trust based client relationships - acting as a credible delivery partner at senior stakeholder level Working within small, expert multidisciplinary teams, typically embedded with the client, to navigate challenging delivery environments across software engineering, data, and AI programmes Taking responsibility for project financials, forecasting, and reporting to achieve targeted commercial outcomes Supporting the onboarding of consultants to projects; working with line managers to assess project fit and set people up for success Undertaking line management of assigned consultants, including performance feedback, annual reviews, and ongoing development conversations Contributing actively to Scott Logic's delivery community - sharing lessons learned, developing toolkits, and helping shape how we deliver at scale What we're looking for: Proven experience managing software development projects using Agile frameworks, with a solid understanding of Waterfall based delivery and when each is appropriate Experience delivering data or AI enabled programmes - understanding the iterative, experiment led nature of these engagements and how delivery approaches may need to adapt Familiarity with AI assisted tooling within the SDLC - such as code generation, automated testing, or delivery intelligence tools - and genuine curiosity about how these capabilities are evolving Programme level experience, coordinating across multiple workstreams, suppliers, or delivery teams, would be advantageous A track record of leading and motivating high performing software delivery teams, including distributed or hybrid teams Experience working with or managing teams that include data engineers, data scientists, or AI and ML practitioners Comfort operating in a consultancy environment - managing competing client and internal demands, contributing to business development, and representing Scott Logic professionally What can we give to you? Hybrid working and no overtime. Our people promise devoted to putting our people first. Specific holiday and leave entitlement for every circumstance. Social clubs and groups including but not limited to, Video/Board games, Cycling/Running clubs, Book clubs, Friday bar's and so much more. An environment where ideas are welcomed and explored with detail. This role is based in our city centre office and is likely to involve occasional travel (infrequent day trips or a few days at a time) to visit our clients, across the UK and beyond. If you are interested in more travel, then opportunities are available, we are open to conversation on this. We are mindful of the imbalances in our sector. We celebrate multiple and varied approaches and points of view. We believe diversity drives innovation and we embrace a culture where everyone can contribute irrespective of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability.

Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments.

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music, podcasts, and listeners better than anyone else and by leveraging the latest in Generative AI. Join us and you'll give millions of listeners great music and talk experiences, personalized to each and every one of them. The AI Foundation team within Personalization provides the state-of-the-art foundational data and tech with which we are inventing and shipping new interactive, personalized listening experiences. This is a team of about a hundred AI/ML Engineers, Applied Research Scientists, Product Managers, and domain experts. You'll join the Zeitgeist squad within the AI Foundation team. We focus on building the systems and models that help Spotify understand culture in real time-what's trending, why it matters, and how it shapes listening. You'll leverage large language models and agentic workflows, and work closely with engineers, data scientists, and product partners to turn signals into meaningful user experiences. This is an exciting mix of platform-level content understanding and experience-level user presentation. What You'll Do Design, build, and ship agentic systems that ground personalized listening experiences in cultural context and world knowledge, used by hundreds of millions of Spotify users Develop and maintain pipelines for extracting, structuring, and serving cultural signals at scale, leveraging LLMs and agentic workflows Partner closely with teams across Personalization to integrate foundational cultural data and tech into new agentic listening experiences Own components end-to-end - from data pipelines and model training to production serving and monitoring Design and build evaluation tooling (including LLM-as-judge frameworks and dataset analysis), and run experiments to evaluate the impact of cultural context signals on user experience and engagement Help define the technical direction of the squad, contributing to architecture decisions, and shaping what building "0-to-1" experiences looks like in practice Who You Are You have 5+ years of experience building and shipping machine learning models end-to-end You have a strong foundation in Python (Java and Scala are a plus) and experienced with GCP tools (e.g. Dataflow, BigQuery) You have hands-on experience with LLMs and agent orchestration frameworks (e.g. LangChain, LlamaIndex, Pydantic), building tool-calling agents, RAG, and vector databases You have built and shipped production-scale, data-driven AI/ML systems, ideally in content understanding, knowledge graphs, NLP, MIR, or related domains You are excited but not overhyped by the potential of Generative AI You're comfortable operating as a 0-to-1 builder - you thrive in ambiguous, exploratory spaces and can move from idea to experimentation to production with confidence You care about building inclusive, user-centric products, and you think about AI and ML in the context of products and user impact, not just tech You have worked effectively in collaborative, cross-functional environments You care deeply about code quality, reliability, and scalability Where You'll Be This role is based in London or Stockholm We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can.

Scott Logic is an independent software consultancy helping some of the world's most complex organisations solve hard technology problems. We work across financial services, public sector, and beyond - building high-quality, bespoke software, data, and AI solutions with small, expert teams. We offer a wide range of services, including software development, user experience (UX) design, data engineering, data visualisation, AI, and financial technology consulting. We pledge to develop high-quality software solutions tailored to meet the unique requirements of each client. This is a hands on, client facing role, offering the opportunity to be involved in the full development lifecycle, delivering mission critical projects for high profile global organisations. You'll work in small, expert multidisciplinary teams, typically embedded with the client, navigating complex delivery challenges across software engineering, data, and AI programmes. We like our teams to have high levels of freedom and value collaboration and pragmatism. What you will find yourself doing: Leading the delivery of complex technology projects for clients, taking accountability for scope, schedule, budget, and quality throughout the engagement Building and maintaining strong, trust based client relationships - acting as a credible delivery partner at senior stakeholder level Working within small, expert multidisciplinary teams, typically embedded with the client, to navigate challenging delivery environments across software engineering, data, and AI programmes Taking responsibility for project financials, forecasting, and reporting to achieve targeted commercial outcomes Supporting the onboarding of consultants to projects; working with line managers to assess project fit and set people up for success Undertaking line management of assigned consultants, including performance feedback, annual reviews, and ongoing development conversations Contributing actively to Scott Logic's delivery community - sharing lessons learned, developing toolkits, and helping shape how we deliver at scale What we're looking for: Proven experience managing software development projects using Agile frameworks, with a solid understanding of Waterfall based delivery and when each is appropriate Experience delivering data or AI enabled programmes - understanding the iterative, experiment led nature of these engagements and how delivery approaches may need to adapt Familiarity with AI assisted tooling within the SDLC - such as code generation, automated testing, or delivery intelligence tools - and genuine curiosity about how these capabilities are evolving Programme level experience, coordinating across multiple workstreams, suppliers, or delivery teams, would be advantageous A track record of leading and motivating high performing software delivery teams, including distributed or hybrid teams Experience working with or managing teams that include data engineers, data scientists, or AI and ML practitioners Comfort operating in a consultancy environment - managing competing client and internal demands, contributing to business development, and representing Scott Logic professionally What can we give to you? Hybrid working and no overtime. Our people promise devoted to putting our people first. Specific holiday and leave entitlement for every circumstance. Social clubs and groups including but not limited to, Video/Board games, Cycling/Running clubs, Book clubs, Friday bar's and so much more. An environment where ideas are welcomed and explored with detail. This role is based in our city centre office and is likely to involve occasional travel (infrequent day trips or a few days at a time) to visit our clients, across the UK and beyond. If you are interested in more travel, then opportunities are available, we are open to conversation on this. We are mindful of the imbalances in our sector. We celebrate multiple and varied approaches and points of view. We believe diversity drives innovation and we embrace a culture where everyone can contribute irrespective of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability.

Pacific Asset Management, LLC is seeking a Senior Data Scientist for their Strategic Analytics team in London. This role involves developing predictive models and applying advanced analytics to support insurance risk assessment and decision-making. Successful candidates will have 5-8+ years of experience, strong skills in Python and SQL, and a firm understanding of insurance products. The position offers a work-life balance, comprehensive benefits, and a culture of diversity and inclusion.