Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior AI Data Analyst

IG Group
City of London
2 days ago
Create job alert

Job TitleSenior AI Data AnalystJob DescriptionHello, we're IG Group. We are a publicly-traded FTSE250 FinTech company who run mobile, web and desktop platforms that help our clients trade stocks & shares, leveraged products, Futures & Options and Crypto.We are ambitious. Over 340,000 people already use our platforms. We're global with offices in 18 countries and products in 16 regions. We're hungry to move faster, ship better product for our customers and grow our user base. We believe in high autonomy, and we want people who are looking to do things differently in order to create better experiences for our customers.We work in cross-functional teams and are laser-focused on increasing the number of active clients we serve to drive sustainable growth.# Your team# Your role in the Team's SuccessData Science is fast-growing at IG, and we are constantly refining what this discipline means for the organisation. The demand for our services is very high, and this provides a lot of buzz for every one of us on the team. We are scratching the surface in terms of delivering value to the organisation, but we have been making progress in the complexity of solutions we have available.# What you'll do* Lead the testing, deployment, and integration of impactful AI solutions, focusing primarily on Large Language Models and Gen-AI technologies to solve complex business challenges.* Advance the use of AI within IG by building our next generation of LLM based products, e.g. intelligent chatbots, document analysis systems, recommendation engines, automated insight generation tools, and more, using LLMs and advanced machine learning techniques.* Evaluate, implement, and optimise third-part AI platforms and products, integrating them into existing systems while ensuring security, compliance, and cost-effectiveness.* Explore a variety of data, from structured to unstructured, spanning client, operational, and financial domains to identify opportunities for AI and ML solutions to add value to the business.* Partner with stakeholders across the business to translate complex problems into practical AI solutions, from initial concept through to production.* deployment and ongoing optimisation.# What you'll need for this role* You are a technical innovator who thrives at the intersection of AI engineering and data science, bringing fresh ideas and a pragmatic approach to implementation. You’ll need experience in:* Building and deploying production ready AI/ML solutions using both in-house platforms and third-party AI services, with demonstrated experience working with LLMs and Gen-AI applications.* Strong programming capabilities in Python, with hands-on experience using modern AI-frameworks and ML libraries.* Working with APIs, cloud platforms, and implementing MLOps practices to ensure reliable, scalable AI solutions.* Generating actionable insights from complex and varied data sources, combining analytical thinking with practical engineering skills.* Excellent communication abilities, explaining sophisticated AI concepts and 3 technical trade-offs to non-technical stakeholders and building consensus around solution approaches.# How we workWe try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office -- which we think balances the need to collaborate effectively and connect with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction:* Lead and Inspire: Drives trust, alignment, and enthusiasm* Think Big: Focus on the problems that most impact commercial outcomes* Champion the client: Understand and prioritise the client's needs* Deliver at pace: Push for fast, sustainable growth;* Raise the bar: Take ownership, be accountable and share feedbackWe believe that diversity is vital to success, it fuels creativity, drives innovation and sets us up for global success. We're committed to building teams with a variety of perspectives and skills to help us realise our vision and strategy, that's why we encourage applications from people with diverse backgrounds and experiences to join us on this journey. Learn more about our D&I approach .# The PerksYour growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work.* Competitive salary* Flexible Benefits Package on top of your salary (12%)* Private medical cover for you and your family* Life insurance* Contribution to gym memberships* 25 Days holiday, with 1 additional day off to celebrate your Birthday & 2 additional days off a year for voluntary work (28 in total* The option to buy or sell holiday days.* Unlimited access to the LinkedIn Learning Platform* A comprehensive global and local onboarding process* Employee-led LGBTQ+, Women’s, Black and Parents & Carers networks with an annual budget for organising events & projects that foster an open, diverse and inclusive culture* Option to participate and create ESG initiatives based on IG Brighter Future Fund* Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave, as well as a range of support and benefits for parentsLearn more about the Perks !Join us for this exciting journey.****Apply now!****Number of openings1
#J-18808-Ljbffr

Related Jobs

View all jobs

Senior AI Data Scientist: LLM & GenAI Innovator

Online Data Analyst

Senior Machine Learning Engineer

Senior Data Analyst — AI Dashboards for Cloud Infra

Senior Data Engineer · Manchester

Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.