Machine Learning Consultant - Experienced

Awerian
Cambridge
3 weeks ago
Applications closed

Related Jobs

View all jobs

Machine Learning Consultant

Machine Learning/ Generative AI Consultant

Machine Learning Engineering Manager

Machine Learning Product Engineer (Hybrid)

Senior Machine Learning Engineer

Graduate Actuarial Analyst (Machine Learning)

Job Description

Job Title:      Machine Learning Consultant - Experienced

Location:      Cambridge, United Kingdom

Salary:           Competitive

Contract:      Permanent

 

Breakthrough technology is vital for strengthening the UK’s Defence and Homeland Security. As a Machine Learning Consultant at Awerian, you will be at the forefront of this innovation race to defend and protect the UK from the latest technological and cyber threats.

 

Your work will have a real-world impact. You will explore and develop cutting-edge technologies by working within multi-disciplinary teams of highly educated and skilled scientists and engineers.

 

As a Machine Learning Consultant you will use your curiosity, creativity, and rigour to tackle diverse, real-world challenges which are typically at the forefront of emerging AI/ML technologies. You will use your experience to design and deploy systems that apply machine learning to a broad range of tasks, often in novel settings, pulling together third-party components and building elements yourself. You will research the fundamentals of models, their architectures and each stage of the machine learning pipeline. It’s a fantastically challenging, varied, and agile role.

 

Awerian’s wide variety of intriguing projects often bring together aspects of science, engineering and machine learning. Projects span proof-of-concepts through to working prototypes, providing both intellectual and practical challenges. The projects will test your ability to solve problems across the machine learning development cycle: ideation; data I/O, cleaning and preparation; rapid code prototyping and feasibility testing; designing, refining, and evaluating models; and deploying and packaging code into client-ready demonstrators and products. The sense of job satisfaction will be tangible as you collaborate across disciplines and stretch your knowledge and capabilities into new areas of pioneering research and development.

 

Requirements

You will hold an undergraduate degree (2:1 or above) in a relevant subject including Physics, Maths, Engineering, Computer Science, etc. Graduate degrees with demonstrable research experience or equivalent research and development experience are highly desirable. You will bring a rigorous scientific approach, independent mindset, and broad interest in developments across the machine learning field.

 

Key technical skills of interest include:

  • Very strong foundation in Python.
  • Hands-on experience with current frameworks such as Tensorflow, PyTorch and JAX.
  • Experience of building machine learning solutions for novel problems and/or resource-constrained situations and/or current edge-processing platforms.
  • Experience of a broad range of machine learning techniques (e.g. computer vision, audio reconstruction, generative models) and/or the ability to adapt to new domains rapidly.
  • Familiarity with GPU hardware and their associated languages (e.g. CUDA).

 

Ideally you will have notable experience in two or more of the above areas. Experience of, or skills required for, client-facing (or similar) roles are highly desirable. We are keen to hear from exceptional applicants with experience in any sector.

Why Awerian?

Awerian is a defence and security technology consultancy comprising 35+ scientists and engineers. You will work at our smart and well-equipped offices and laboratories based just outside Cambridge. Immediately you will be encouraged to share and implement your ideas as a valued member of the team, and you will benefit from our strong culture of freedom and openness.

 

We have a flat structure with little hierarchy, and no corporate hoops to jump through. This encourages mutual support, teamwork, and innovation. It also creates unique opportunities to develop skills in project leadership and client management to keep your professional development on track, firmly supported by our team of experts.

 

We are continuing our rapid growth plan, making this an exciting time to join and help to shape our future. We’re a business of individuals – however, our curiosity brings us together and it drives what we do. Whether you’re leading a project or part of a team, the whole structure of Awerian is designed to help you connect, thrive, and feel included.

 

 


Additional Information

The Company and Benefits:

We are part of TTP Group, an employee-owned trust, with attractive employee benefits including:

  • Employer pension contribution of 10% of salary +3% personal contribution
  • Private medical insurance for you and your family and Life insurance
  • 25 days annual holiday plus bank holidays
  • Enhanced family friendly leave
  • Electric Vehicle leasing & Cycle to Work scheme
  • Access to TTP Group social and sport clubs and an on-site gym
  • Discounts and memberships to local sports facilities and the theatre

 

You will need to be eligible for UK security clearance.

Please note this role is not eligible for UKVI sponsorship visa scheme

 

We review CVs on an ongoing basis and will arrange interviews promptly upon receiving suitable applications.

 

Our business revolves around collaborating with one another to tackle genuinely hard problems. Equality and diversity in the workplace are some of the most challenging problems facing society.  We continuously strive to do better, and we fundamentally believe in the power and importance of diversity – both for our community and for the overall success of our business. 

We therefore encourage applications from all individuals. Whatever your background, whatever your identity: we would love to hear from you.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.