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Tech Lead – Python & AI

AI Summary
Nearform is seeking a UK-based Technical Lead to lead Python and AI application delivery for enterprise clients. The role combines hands-on technical leadership, architecture design, client collaboration, project delivery, and mentoring or line management. The successful candidate will bring strong experience with AI agent frameworks, Kubernetes, cloud-native infrastructure, CI/CD, observability, and cloud platforms. This is a full-time permanent remote role, with travel to client sites as needed and covered by the company. The position requires the ability to translate business needs into secure, scalable, maintainable software solutions.
Remote from
UK
Salary
GBP 90k / yr
Employment
Full Time
Experience
Senior
Published
Apply before
12 Dec 2026
Listing views
25
Application actions
0
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Opportunity details

About this role.

This is a full-time, permanent opportunity for candidates based in the UK and authorised to work without sponsorship.

This position also requires travel to client sites with travel expenses covered by the company.

About Nearform

Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact.

Our deep expertise in solving the world’s most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI.

Today, our team of 500 experts in 20+ countries is trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.

As part of our Engineering function, you will work closely with clients to translate complex business requirements into innovative digital products.
Whether you are a Senior Engineer, Tech Lead, or DevOps Engineer, you will collaborate with distributed teams, leveraging cutting-edge technologies to build secure, high-performance applications. Our Nearform engineers are known for building high quality, scalable solutions that solve real world problems.

About the Technical Lead Role:

As a Technical Lead at Nearform, you will be responsible for leading and guiding development teams while working directly with clients to translate business and technical requirements into impactful applications. However, as you’ll likely work on a variety of projects in your time here, your responsibilities may also include:

  • Provide technical and line-management leadership to your development team.
  • Take responsibility for the successful delivery of projects.
  • Identify and resolve blockers before they become issues.
  • Ensure best practices in software development, DevOps, and agile methodologies are upheld within the team.
  • Work directly with clients, translating requirements into technical briefs.
  • Shape and define architectural decisions ensuring scalability, security, and maintainability.
  • Provide updates to client and Nearform leadership to ensure clear understanding of project status and drive good decision-making.

What we are looking for in this person:

  • Significant experience in software engineering and 2+ years of experience leading projects and mentoring as a Technical Lead. For this particular role, we are looking for professional experience Python.
  • Experience with AI application development and Agentic frameworks and platforms (e.g., LangGraph, Agentspace, etc.)
  • Experience working directly with clients or customers to understand technical requirements.
  • Proven experience working with Kubernetes for container orchestration.
  • Strong CI/CD experience, including hands-on work with Terraform, Helm, and other cloud-native IaC technologies.
  • Deep understanding of observability practices, with practical experience using OpenTelemetry (OTel) and related tooling.
  • Experience leading software engineering teams through technical delivery and either direct line management or mentoring.
  • Deep understanding of agile ways of working, best practices and design patterns.
  • Deep understanding of test-driven development and testing best practices.
  • Deep understanding of version control tools, e.g. Git.
  • Understanding of DevOps practices and cloud technologies (AWS, Azure, GCP)
  • Understanding of operational concerns (such as monitoring, performance testing, security considerations, accessibility, GDPR)
  • Empathy and people skills

Benefits and Perks we offer at Nearform

  • Annual Company Bonus – We all help Nearform to hit company goals so we all receive a share of the profits on an annual basis in line with company performance.
  • Work Remotely and Flexibly – We have a genuine dedication to work/life balance. Our flexible working culture allows you to work around what matters – school run, no problem!
  • Paid Time Off Package – We offer an annual leave of 25 days plus public holidays. We also offer sick leave, marriage leave and many more.
  • Remote Working Allowance – Every 2 years, you will have a budget of up to €1250 (equivalent in GBP) to help you set up a comfortable and productive workspace in addition to your essential equipment provided by Nearform when you join.
  • Training and Development Allowance – Nearform is committed to supporting and investing in employees’ ongoing learning and professional development. You will be encouraged to pursue relevant learning opportunities that support your growth and the growth of others, subject to manager approval.
  • Healthcare – It’s important to always take care of your health, so we offer additional private healthcare here at Nearform. If you wish to learn more about the plan offered feel free to reach out to our team.
  • Pension & Insurances – We offer a pension match of up to 5% and Income Protection and Death in Service for peace of mind.

Our Interview Process

  • Talent Call (30 mins via Zoom)
    An initial conversation with a member of our Talent Team to explore your background, leadership experience, and career goals. We’ll provide an overview of Nearform, discuss potential alignment, and answer any questions you may have. This step helps us assess initial alignment.

  • Panel Interview (60 mins via Zoom)
    A conversation with two of our Technical Directors focused on your approach to teamwork, client collaboration, and problem-solving in an enterprise development setting. We’ll also share more details about Nearform and the potential projects you may join.

  • Technical Lead Assessment (90 mins via Zoom)
    A structured assessment led by a senior Technical Lead or Head of Engineering, designed to evaluate key aspects of a Technical Lead role. This session includes a selection of tasks to cover:

    Architecture Design – We want to see how you approach a high-level problem, demonstrating your design thinking and decision-making process.
    Technical Implementation – How do you turn a design into reality, taking into account business needs?
    Code Standards and Feedback – We want to see not just your own skills, but also how you improve those around you

There may also be an additional interview with the client depending on the project.

Ready to Join Us?

If you’re passionate about building high-quality applications, solving complex challenges, and driving innovation in enterprise development, we’d love to hear from you.

Apply now via our careers page at Nearform and be part of a team that values technical excellence, collaboration, and continuous learning.

As part of our recruitment process, we conduct manual and electronic identity verification checks to confirm the identity of prospective employees.

Nearform is committed to shaping a better world in all that we do. Our global team is built based on respect, inclusivity, diversity and excellence.

If you require any adjustments to the interview process as part of your application, please let someone from our Talent Team know so they can help.

Our salary range starts from £90,000 + bonus & benefits and will be discussed during the initial interview based on your experience.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior technical leadership role requiring deep engineering expertise alongside responsibility for delivery outcomes, architecture, and people development. The combination of AI systems, cloud-native operations, and direct client work makes the role highly demanding.

Salary analysis

Estimated compensation compared with the broader UK market for similar roles.

Estimated job median (per year)Market rate
£90,000
UK market range (per year)£90k–£125k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a starting base salary of £90,000 plus bonus and benefits. The annual period is inferred from the amount and the conventions for a permanent UK technical leadership role, as the posting does not explicitly state the salary cadence. A reasonable estimated market range for a UK Python and AI Technical Lead is £90,000 to £125,000 per year, depending on client-facing leadership scope, cloud expertise, and AI delivery experience.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you design a production-ready Python application that uses an AI agent framework?

I would begin by clarifying the business workflow, risk profile, expected volume, and success measures. I would separate agent orchestration, tool integrations, domain services, and data access behind clear interfaces, then add guardrails, structured outputs, audit logging, evaluation tests, and human escalation paths. I would deploy the service in a containerized environment with observability, access controls, and automated delivery pipelines.

How do you balance technical quality with delivery deadlines when leading a client project?

I make delivery trade-offs explicit by identifying the non-negotiable quality attributes, such as security, reliability, and maintainability, early in the project. I break work into valuable increments, surface risks quickly, and agree on priorities with the client and team. This approach protects essential engineering standards while enabling predictable progress.

Describe your approach to mentoring engineers with different experience levels.

I tailor support to each engineer's capability and goals, combining clear expectations, regular feedback, pairing, and progressively broader ownership. I use code reviews and technical design discussions as coaching opportunities rather than only approval gates. I also create space for engineers to make decisions, learn from outcomes, and share knowledge with the wider team.

What observability practices would you establish for a Kubernetes-based service?

I would define service-level indicators and objectives, then instrument applications with OpenTelemetry traces, metrics, and structured logs. Dashboards and alerts should focus on user-impacting symptoms such as latency, error rate, availability, and saturation. I would also ensure correlation identifiers, deployment annotations, and runbooks are available to make incident diagnosis efficient.

How would you handle conflicting technical requirements from a client and an internal engineering team?

I would first clarify the underlying goals, constraints, and assumptions with both groups. I would present viable options with their cost, risk, timeline, and operational implications, using evidence where possible. My aim would be to facilitate a decision that meets business needs without compromising critical technical principles, while documenting the agreed rationale.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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