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

Nominate & Attend

Sigma Labs - Graduate Technology Consultant Programme

Sigma Labs
London
11 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Automation Analyst II – Enterprise RPA & Machine Learning Projects

Automation Analyst II – Enterprise RPA & Machine Learning Projects

Automation Analyst II – Enterprise RPA & Machine Learning Projects

Staff Data Engineer

We aim to place the individual at the centre of everything we do. We want to be an effective organisation that produces great outcomes rather than an efficient machine that churns through candidates, trainees and consultants. We take time to get to know each person, understanding their challenges, motivations and aspirations so that our support gives you the best chance of success.

As a trainee, you will spend time working online alongside others in a cohort of 16-20 people. There is a focus on doing things well but there is plenty of space for fun and individual expression. When working with our client we will stay in touch through regular 121s and communications - we will coach you to keep improving and make the best impression possible. We will also have regular events throughout the year and are looking to build more opportunities to get involved.

The Key Facts

The Training: a free, unpaid 12-15 week intensive programme covering software fundamentals and data engineering: professionally write complex code using Python and SQL, create APIs, work with structured and unstructured data and deploy applications to the cloud. Equally important, we include training in high-performance personal and professional behaviour (from interviewing to problem-solving);The Role: after training, our laser focus is to place you with a client and employ you starting on £30,000 p.a., rising to £38,000 in the second year. You will work with one of our clients for 2 years to help them solve real-world problems while we continue to develop you technically and professionally. If we fail to find you a role with us, we will still try and help you find a role somewhereThe Goal: at the end of 2 years working for us, you will join our network which includes 100 senior managers at some of the world's leading organisations, all of whom are committed to helping Sigma Labs alumni in the long term. You should be able to earn £45K to £55K at this point;The Location: the training is largely remote, but we will bring you to our central London office for a few days at the start to get to know each other better. All of our roles are currently based in or close to London and successful trainees will be expected to live in that area.

Our Offer

12-15 weeks of proven high-quality technical and professional training in a wide range of skills that are in high demand followed by work in a London-based role such as data engineering or data analysis; Highly valued: “It’s the first time someone believed in me” and “This is what university should have been” - our trainees and consultants praise our level of support with attentive coaches who make themselves available through regular 121s and low trainee/coach ratios; Training is just the beginning: we provide coaching, mentoring, technical support, high-performance mindset training and more while you work for our clients with the aim of lifelong success; Our commitment to you is to get you into a technology role: we can’t guarantee a particular role or industry but we work hard at placing people where they have the opportunity to thrive; You don’t need coding experience to apply as we will support you so you are ready for the technical assessment at the end of our hiring process. We will also support you before the start of training so that you are where you need to be; We will provide laptops and cover any travel and accommodation expenses during training. Remote-first learning and hybrid working.

Who we’re looking for

You’ll fit right in at Sigma Labs if you:

see a job as an opportunity to learn and make an impact, not just a destination; love to learn and are not scared to try; value collaboration to reach your goals; can logically think through a problem and clearly explain the solution; will go above and beyond to be a difference-maker.

As a B-Corp with social mobility at the heart of our mission, we particularly want to hear from people not well represented in technology and high-performance jobs including female candidates and those from low-income backgrounds.

Interested? If so, click 'Apply Now' to begin your application!

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.

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

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.