National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Python/AWS - Fullstack Engineer

TEKsystems
London
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Up to £150k

Data Science Manager - Remote

Data Scientist

Data Science Manager - Remote

Experienced Ai / Machine Learning Engineer

Junior/Mid/Senior Data Scientist - Hybrid, London

Join a Fast-Growing Tech Startup as a Senior Software Engineer Are you a seasoned software engineer looking for an exciting opportunity to make a real impact? Our client is a rapidly growing tech startup, backed by a renowned investment group, and is on a mission to transform the way people plan for and deal with lifes most challenging moments. About the Company:Our client is revolutionizing the industry with an innovative platform that brings a human touch to planning for the future. The team is passionate, driven, and committed to making a difference. With recent investment and ambitious growth plans, they are looking for talented individuals to join their dynamic team. The Role: As a Senior Software Engineer, you will be a key member of the growing engineering team, responsible for designing, building, testing, deploying, and maintaining scalable systems. This is an exciting opportunity to work on a greenfield project, where youll have the autonomy to make key decisions on architecture and development, contributing to both back-end services and some front-end components. A key aspect of the role includes working with and integrating Large Language Models (LLMs) into products, so experience in this area is a plus. While the preference is for expertise in AWS (using services like Lambda, S3, SNS, SQS, DynamoDB), candidates with comparable experience in other cloud platforms like GCP or Azure are also considered. You will work closely with the Engineering Manager and Lead Developer to deliver high-quality solutions that enhance the product, and collaborate across teams to bring impactful features to life. As part of a fast-paced startup, you will thrive in an environment that values collaboration, flexibility, and quick iteration while maintaining the balance between speed and quality. ?Key Responsibilities: Lead the design and development of scalable, cloud-native systems, leveraging modern architecture principles such as microservices and serverless frameworks. Write maintainable, efficient, and clean code primarily in Python, focusing on performance, scalability, and reliability. Build and maintain robust automated testing and CI/CD pipelines to support fast, frequent, and reliable deployments. Work closely with cross-functional stakeholders, including product managers, designers, and other engineers, to gather requirements, develop features, and address user needs. Drive best practices in development, demonstrating a strong balance between rapid iteration and high-quality output. Participate in code reviews, architectural discussions, and continuous improvement initiatives to foster a culture of technical excellence. Champion a lean mindset and agile methodologies, contributing to sprint planning, daily stand-ups, and retrospectives. Engage with the product and users to understand their needs, ensuring that the solutions delivered align with business goals and enhance the customer experience. Who You Are: Must Haves: Extensive experience in software development using Python or similar languages. Strong cloud experience, ideally with AWS (e.g., Lambda, S3, SNS, SQS, DynamoDB); however, similar expertise in GCP or Azure is also highly valued. Proven ability to design, build, and maintain cloud-native applications with a focus on scalability, performance, and reliability. Hands-on experience with automated testing practices and CI/CD tools such as CircleCI, Jenkins, GitHub Actions, or cloud-native solutions like AWS CodePipeline. Ability to thrive in a startup environment, embracing change, iteration, and rapid development cycles. Strong understanding of RESTful APIs, with experience in building, consuming, and optimizing them. Experience or familiarity with OpenAI APIs or other LLMs, with an interest in integrating these technologies into products. Excellent collaboration and communication skills, enabling smooth work across engineering and non-engineering teams. Experience working in agile teams and familiarity with agile development practices. A passion for building products that deliver real value to users and a strong customer-centric approach. Nice to Haves: Experience with serverless frameworks (e.g., Serverless Framework, AWS SAM) or equivalent technologies on GCP/Azure. Familiarity with infrastructure as code (IaC) tools like AWS CloudFormation, Terraform, or equivalent tools in other cloud environments. Experience with containerization (e.g., Docker) and orchestration tools like Kubernetes or ECS. Background in event-driven architecture. Understanding of Python web frameworks such as Flask or FastAPI. Experience optimizing applications for cloud performance, cost-efficiency, and scalability. Hands-on experience with monitoring and logging tools (e.g., AWS CloudWatch, Datadog, ELK stack). An understanding of lean software development principles and practices focused on delivering value quickly. A passion for mentoring and sharing knowledge, contributing to a culture of continuous learning and growth. Benefits: Flexible working: 3 days in the office (London, Holborn) Work from anywhere in the world for up to 4 weeks per year. An extra holiday day for your birthday Life insurance, health insurance, will & LPAs Enhanced parental leave Share incentive scheme Cycle to Work Scheme and access to the Electric Vehicle (EV) Salary Sacrifice Scheme. Charitable fundraising matching up to £500. Support for entrepreneurial ventures through the Springboard program. Our client is committed to creating an inclusive environment and is proud to be an equal opportunity employer. If youre ready to join a team thats making a real difference, theyd love to hear from you Location London, UK Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. 2876353. Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available athttps://www.allegisgroup.com/en-gb/privacy-notices. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go tohttps://www.allegisgroup.com/en-gb/privacy-notices. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice athttps://www.allegisgroup.com/en-gb/privacy-noticesfor details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying info rmation such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.

National AI Awards 2025

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.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.