
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Technical Lead, Data & AI, UK
Job Description
The Technical Lead is a central, deeply hands-on role at vector8. You will write code, build solutions, and directly drive the delivery of enterprise-grade data and AI systems — while providing the technical direction and mentorship that helps the team around you excel.
This is not a primarily hands off, high level management position: you are expected to be in the codebase every day, solving hard problems, unblocking teammates, and setting the bar for engineering quality. You bring strong hands-on engineering skills across data and AI, combined with the breadth to make sound technical decisions, navigate complex system landscapes, and ensure everything delivered is secure, performant, and compliant.
Job Requirements
Extensive and demonstrable experience in ML &data engineering & AI solution architectures. Deep expertisein designing and building complex AI solutions (MLOps, streaming, APIs, orchestration). Strong hands-on engineering skills - comfortable coding in Python, SQL, or similar languages and working with modern data/AI toolchains. Experience with AWS, Azure, or GCP data/AI services; multi-cloud familiarity is astrongplus. Knowledge of data governance, responsible AI, security frameworks, and operational controls, ideally coupled with experience inhighly regulated industries with strict requirements for security, privacy, compliance, and data governance. Excellent stakeholder management and communication skills, able to influence both executives and engineering teams. Ability to convert complex challenges into clear architectural decisions and actionable delivery plans. Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics ora related field.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Job Responsibilities
Hands-on Contributor
Contribute directly to solution development validating technical approaches when needed. Support teams during complex engineering tasks, unblock challenges, and ensure the final solution aligns with the architecture. Hands-on delivery is the primary mode — you lead from the front, writing code and solving problems directly alongside the team.
Drive Technical Delivery & Team Leadership
Lead cross-functional delivery teams of data engineers, ML engineers,MLOpsspecialists, and software developers. Define technical workstreams, review code and designs, and ensure architectural coherence throughout the implementation. Provide coaching, mentoring, and thought leadership to elevate engineering quality and delivery excellence.
Data & AI Solutions Navigate Complex Systems & Regulated Environments
Work across intricate enterprise ecosystems with heterogeneous applications, distributed data sources, and legacy components. Identifymodernization paths and integration patterns that respect operational realities and long-standing constraints. Embed data protection, cybersecurity controls, governance, and compliance in solution design.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Enable AI at Scale
Design architectures that support AI development, deployment, monitoring, governance, and lifecycle management. Build reusable architectural patterns and components that accelerate scaling AI beyondsingle usecases.
Shape Client Relationships & Growth
Build trusted relationships with CDOs, CIOs, Chief Architects, engineering leads, and business stakeholders. Contribute technicalexpertiseto proposals andRfPs. Identifyopportunities to expand AI and data platform capabilities across the organization.
Job Benefits
Compensation & Rewards: Competitive salary with private medical and dental care. Work Environment: Modern office space with a collaborative, energising atmosphere Flexibility: Hybrid working model - balance remote work with in-office collaboration Learning & Growth: Ongoing investment in your professional development, with clear opportunities to take on leadership Team & Culture: Join a growing, diverse, international team across 5 locations, with regular team events and opportunities for cross-border collaboration Recognition & Rewards: Attractive referral bonuses for both candidate and client conversions.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location