At a Glance
- Tasks: Lead and code innovative data and AI solutions while mentoring a talented team.
- Company: Join vector8, a forward-thinking tech company with a collaborative vibe.
- Benefits: Enjoy competitive pay, private healthcare, hybrid work, and growth opportunities.
- Other info: Be part of a diverse, international team with exciting career growth potential.
- Why this job: Make a real impact in AI and data while shaping the future of technology.
- Qualifications: Strong coding skills in Python or SQL and experience in ML & data engineering.
The predicted salary is between 60000 - 80000 £ per year.
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 expertise in 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 a strong plus.
- Knowledge of data governance, responsible AI, security frameworks, and operational controls, ideally coupled with experience in highly 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 or a related field.
- 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, MLOps specialists, 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. Identify modernization paths and integration patterns that respect operational realities and long-standing constraints. Embed data protection, cybersecurity controls, governance, and compliance in solution design.
- 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 beyond single use cases.
- Shape Client Relationships & Growth: Build trusted relationships with CDOs, CIOs, Chief Architects, engineering leads, and business stakeholders. Contribute technical expertise to proposals and RfPs. Identify opportunities to expand AI and data platform capabilities across the organization.
- 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.
Technical Lead, Data & AI, UK in London employer: vector8
At vector8, we pride ourselves on being an exceptional employer that fosters a dynamic and collaborative work environment. As a Technical Lead in Data & AI, you will not only engage in hands-on coding and solution development but also have the opportunity to mentor and lead a diverse team of professionals. With a strong emphasis on professional growth, competitive benefits, and a flexible hybrid working model, vector8 is committed to empowering its employees to excel in their careers while contributing to innovative projects in a modern office setting.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Lead, Data & AI, UK in London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like vector8.
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We think you need these skills to ace Technical Lead, Data & AI, UK in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at vector8, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at vector8. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at vector8
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at vector8!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
