6 jobs found

AI Architect Financial Services London Hybrid At Datatech Analytics, we're delighted to partner with a global consulting organisation expanding its AI and Data capability within Financial Services. The firm works with major banks, insurers and capital markets institutions to design and deploy enterprise AI platforms, helping organisations transform how data and AI drive decision making across the business. As demand for AI transformation programmes continues to grow, the business is looking to hire an AI Architect to help shape and deliver complex AI platforms for large financial institutions. The role You will design and architect enterprise AI platforms, translating complex business challenges into scalable AI and data solutions. Working closely with engineering teams and senior stakeholders, you'll help organisations move from experimentation with AI to production-ready AI systems embedded within core business platforms. What you'll be doing Defining enterprise AI architecture strategies for financial services clients. Designing scalable AI platforms and ML infrastructure integrated with enterprise data systems. Architecting end-to-end AI pipelines , from data ingestion through to model deployment. Leading engineering teams across AI, machine learning and data engineering. Engaging senior stakeholders to shape AI transformation programmes and technical strategy. Technology environment Typical platforms and technologies include: Cloud platforms such as AWS, Azure or Google Cloud Data platforms including Databricks, Snowflake or BigQuery Python and modern ML frameworks Generative AI, LLM integration and RAG pipelines MLOps tooling and modern ML lifecycle management. The profile Experience designing enterprise AI or data platforms in complex technology environments. A background delivering large-scale transformation programmes, often within consulting or advisory environments. Strong technical leadership combined with the ability to engage senior stakeholders across business and technology teams. Experience working within Financial Services environments is highly valued. If you'd like to learn more about the opportunity, feel free to reach out for a confidential conversation.APPLY NOW Datatech Analytics

Principal Engineer - Lead Tech Strategy for a Profitable FinTech Scale-Up Hybrid (London) or remote within the UK Up to £160,000 per annum plus stock options Python | Django | FastAPI | AWS | Rust | Postgres | Event-Driven Architecture | Machine Learning Principal Engineer - We're working with a leading fintech scale-up that's transforming how small businesses access finance. Backed by a strong track record and an ambitious mission, they're now looking for a Principal Engineer to lead the next phase of innovation within one of their most critical product areas. This is a strategic leadership role offering exceptional autonomy and influence. You'll head up the evolution of a high-impact platform responsible for generating personalised credit offers - a core driver of the business's growth and customer experience. The Opportunity As Principal Engineer, you'll take ownership of the technical strategy and architecture for dynamic, data-driven systems that determine the financial products offered to new customers. This is a unique chance to define the future of adaptive credit systems, driving smarter, faster and more relevant lending decisions using Real Time data and experimentation. The Principal Engineer will work closely with senior leadership across engineering, data, product and design. You'll also mentor engineers, steer long-term vision and ensure delivery aligns with key business outcomes. What Makes This Role Stand Out? Strategic Impact: You'll lead the architectural vision and execution of systems at the heart of a high-growth fintech. Technical Ownership: Full responsibility for evolving and scaling a domain-critical platform. Cross-Functional Collaboration: Partner with experienced teams across disciplines to shape solutions from the ground up. Mission-Driven Environment: Work for a business that's empowering small businesses and making finance more accessible. What We're Looking For: Strong experience in systems architecture and software development (object-oriented languages). Proven ability to deliver large-scale technical projects in fast-paced environments. A business-oriented mindset: you can translate complex problems into scalable, value-driven solutions. A collaborative leader who has mentored teams and influenced product direction. Experience working with complex domain models and evolving codebases. Bonus skills include : Python, Django, PostgreSQL, event-driven data systems, machine learning familiarity and Front End awareness. If you're a Principal Engineer looking to combine hands-on technical leadership with real strategic influence in a product-led fintech then please reply with your CV or call Simon for a chat. Principal Engineer - Lead Tech Strategy for a Profitable FinTech Scale-Up Hybrid (London) or remote within the UK Up to £160,000 per annum plus stock options Python | Django | FastAPI | AWS | Rust | Postgres | Event-Driven Architecture | Machine Learning Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.

Location: London (3 days a week in the office) About The Opportunity: One of the world s leading Specialty Insurers, renowned for their deep expertise, unparalleled track record, and solid balance sheet. They are committed to empowering their people and delivering innovative solutions to clients. The London Market Underwriting & Reinsurance Performance team, consisting of Actuaries, Reinsurance Specialists, and Engineers, is focused on transforming the underwriting business with cutting-edge technology. As a Senior Software Engineer, you will play a pivotal role in researching, designing, testing, developing, and supporting software solutions that drive the future of Property & Casualty underwriting. This is an exciting opportunity to be part of a dynamic, cross-functional team working on full-stack solutions such as Underwriting Dashboards and Actuarial Model Management platforms. Core Responsibilities: Collaborate with software engineers, data engineers, and underwriters to shape the future of underwriting. Improve workflows and maintain focus on the underwriting experience. Deliver software in small, incremental releases. Drive technical excellence and agility across the team. Essential Skills & Experience: Strong experience in Python (FastAPI desirable). 3+ years of experience in developing complex software solutions. Solid understanding of object-oriented programming and test-driven development (TDD, BDD). Familiarity with agile software engineering practices. Passion for continual learning and experimentation. Desirable Skills: Frontend technologies such as HTML, CSS, React. Experience with C# Experience with AWS or Azure cloud environments. Hands-on experience with Domain Driven Design Experience with git, CI/CD, and DevOps practices. Exposure to Actuarial/Commercial Insurance. Interest in Terraform and deployment pipelines in cloud platforms. Requirements: Must be available to work three days a week in the office.

Job Introduction BBC R&D has recently established an Automation Applied Research Area focussed on the use of Machine Learning across the BBC. Automation works closely with other BBC R&D Applied Research Areas, BBC Product and Technology Groups and senior business stakeholders across the BBC to accelerate Machine Learning based innovation. Reporting to the Head of Automation, this role will lead a team of experts exploring the ML platforms, tools, performance, and sustainability that will underpin the BBC's approach to Machine Learning innovation. It will ensure that best practice and correct technology choices are downstreamed into R&D ML applications as well as supporting the wider BBC in making the right strategic decisions for its future ML technology. BBC R&D has five applied research areas focussed on Audiences, Automation, Distribution, Infrastructure and Production who are looking to solve some of the most interesting challenges in Media and Broadcasting; as well as our Commercial, Partnerships & Engagement team who ensure we're collaborating with the right external partners and optimising commercial returns through the exploitation of our Intellectual Property and grant funding. Our work supports the BBC's current ambition as well as informing future strategy. If you're excited by the prospect of working in an innovative environment with smart and supportive colleagues, then BBC R&D is the place for you. Role Responsibility This is a hands-on role. Your key responsibilities will be: Build and lead a team of ML engineers to develop an infrastructure to manage ML lifecycle through experimentation, deployment, and testing. Own the Automation MLOps strategy, roadmap, and backlog. Provide leadership and guidance on the delivery of ML models from prototypes to production, mentor and coach team members on ML engineering best practises; work alongside researchers to enable BBC to benefit more rapidly from fundamental ML research. Contribute to the design of ML systems and infrastructure to shape how ML is used across the BBC. Develop relationships with pan-BBC and external contributors and stakeholders. You will need to bring to life long-term ambitions to secure required support and buy-in for tangible and intangible benefits and outcomes. Focus on ensuring our ML technology delivers on performance, cost and sustainability goals and is supportive of the BBC's responsible and ethical ML objectives. Work with our Technology Strategy and Governance team to identify and communicate strategic investment decisions required to mature the BBC's ML technology in line with business needs. Are you the right candidate? Solid understanding of machine learning concepts and algorithms Experience deploying machine learning solutions Expert knowledge of Python programming and machine learning libraries (Scikit-learn, TensorFlow, Keras, PyTorch, MxNet, etc.) Experience implementing ML automation, MLOps (scalable deployment practices aimed to deploy and maintain machine learning models in production reliably and efficiently) and related tools (e.g., MLflow, Kubeflow, Airflow, Sagemaker) Experience working in accordance with DevOps principles, and with industry deployment best practices using CI/CD tools and infrastructure as code (e.g., Docker, Kubernetes, Terraform) Experience in at least one cloud platform (e.g., AWS, GCP, Azure) and associated machine learning services, e.g., Amazon SageMaker, Azure ML, Databricks. Package Description Band: E Contract type: Permanent - Full time Location: UK wide We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. The situation regarding the coronavirus outbreak is developing quickly and the BBC is keen to continue to ensure the safety and wellbeing of people across the BBC, while continuing to protect our services. To reduce the risk access to BBC buildings is limited to those essential to our broadcast output. From Wednesday 18 th March until further notice all assessments and interviews will be conducted remotely. For more information go to Mae'r sefyllfa gyda'r coronafeirws yn datblygu'n gyflym, ac mae'r BBC yn awyddus i barhau i sicrhau diogelwch a lles pobl ar draws y BBC, gan barhau i warchod ein gwasanaethau hefyd. I leihau'r risg, dim ond y bobl sy'n hanfodol i'n hallbwn darlledu fydd yn cael mynediad i adeiladau'r BBC. O ddydd Mercher 18 fed Mawrth ymlaen, bydd pob asesiad a chyfweliad yn cael ei gynnal o bell, nes rhoddir gwybod yn wahanol. I gael mwy o wybodaeth, ewch i About the BBC We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours in the document attached below. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here

Why you should join us… We connect with millions of people every day, make content they can't get enough of and reflect and shape the world we live in… and we do all this through the power of creativity. At ITV, we're well on our way to becoming a digital first business. We're transforming the way we work so that tech is at the heart of everything we do. It's what our More Than TV strategy is all about. And none of it would be possible without our data - and the people behind it. Business Area Overview: Our data team is responsible for helping us realise the value of data. That could mean anything from upskilling and training our people, to increasing our revenue through experimentation and personalisation. The list is truly endless. The team works across our business and impacts everything from Studios and Broadcast to Shared Services. Our strategists develop creative data stories and work with our teams of Data Analysts - they know how to squeeze value from creativity. As we enter the fourth industrial revolution, anyone who joins the team will have the opportunity to work on genuinely groundbreaking innovations so that we can continue to blend science into a creative business. ... The role Sitting in the data experimentation team, we have an opportunity for a Senior Data Analyst to help deliver our ambitious data strategy. In this role you will take full ownership of analytical requirements for a business domain in a cross functional team. We are looking for talented individuals who are well-versed in big data techniques and have a strong interest in media, to join the team. We have ambitions to lead the market in data-powered, video advertising products that deliver compelling and effective solutions to advertisers and their media agencies. Key accountabilities Key Responsibilities: Promote and embed data experimentation across ITV business domains to drive value growth Create and maintain automated data products for commercial and operations teams, highlighting media opportunities, product performance and campaign optimisation Support the design of advertising effectiveness metrics and reporting, to prove the value of our ad and data products to advertisers Help shape, test and optimise data products for high-quality ad targeting As part of a cross functional team develop prototypes and embed data solutions for business stakeholders Collaborate with cross functional teams including data strategist, data scientists, engineers and business stakeholders to drive projects forward Communicate analytics and insight to business stakeholders in a non-technical, commercial and impactful manner Proactively suggest data driven solutions to add value to the business wherever possible Skills & experience Minimum Criteria: Experience of working in the data analytics industry, preferably with extensive digital exposure Keen problem solver who is able to demonstrate critical thinking Excellent attention to detail Programming skills in Python Experience working with GCP, Tableau and AWS Experience analysing large datasets using SQL ITV strongly encourages applications for this role from candidates with a disability and as a Disability Confident Leader, we have committed to interview all candidates with a disability whose application meets the minimum criteria for the role. (minimum criteria above) Key Criteria: Strong communication skills with the ability to tell stories with data Comfortable visualising and presenting analysis across a range of formats (reports, powerpoint, dashboards, e-mail) An understanding of analytical techniques and experimentation methodologies Experience working closely with business stakeholders and engineering teams Experience mentoring junior members of the team Exposure to agile product development An understanding of datamesh Interest in digital media and familiar with advertising technologies and platforms Interest in the TV landscape Other What we can offer: We offer a competitive salary and 5 weeks' holiday on top of public holidays, plus the option to buy more. Other benefits include annual bonus plan, life assurance cover, and interest-free season-ticket loans, an opportunity to buy ITV shares, and the chance to join pension, health insurance, childcare vouchers and cycle to work schemes. We want to be the most flexible employer in Media. We offer Smart working and we will support you and provide you the right environment and work/ life balance. W e reach millions of people everyday, that's why having diverse talents and being an organisation where colleagues feel included is crucial to us. We have various networks who celebrate and support our colleagues. We try to embed an inclusive mindset in everything we do. Find out more here We're happy to discuss any support/personalisation you may need during our application process as part of our reasonable adjustments approach. So we encourage you to get in touch with us if you require anything... our email is . * There may be a few exceptions where we are not able to take all eligible candidates to the next stage due to the volume of applications To apply for this role please see link: https://jobs/senior-data-analyst-1168?_ga=-. Other What we can offer: We offer a competitive salary and 5 weeks' holiday on top of public holidays, plus the option to buy more. Other benefits include annual bonus plan, life assurance cover, and interest-free season-ticket loans, an opportunity to buy ITV shares, and the chance to join pension, health insurance, childcare vouchers and cycle to work schemes. We want to be the most flexible employer in Media. We offer Smart working and we will support you and provide you the right environment and work/ life balance. W e reach millions of people everyday, that's why having diverse talents and being an organisation where colleagues feel included is crucial to us. We have various networks who celebrate and support our colleagues. We try to embed an inclusive mindset in everything we do. Find out more here We're happy to discuss any support/personalisation you may need during our application process as part of our reasonable adjustments approach. So we...