AI Engineer

Brunswick Group
London
1 year ago
Applications closed

Related Jobs

View all jobs

AI Engineer: NLP & Data Science for Digital Insights

AI Engineer / Data Scientist - Production ML & OCR

Microsoft AI Engineer / Azure Artificial Intelligence Engineer

Machine Learning Engineer

Microsoft AI Engineer / Azure Artificial Intelligence Engineer

Quantexa AI/Scoring Engineer (ML, MLOps, Azure) - London and remote - 11 months +

Context

Brunswick is on a journey to leverage AI and data science to enhance its operations and the advice it gives to clients. We currently have an exciting and unique opportunity to join our growing AI team.

The Role

The role will take responsibility for developing new and maintaining existing AI applications, alongside our existing AI team. It will suit an individual with previous experience of developing and managing AI applications (particularly using LLMs). You should enjoy working with autonomy and be a creative problem solver, with a strong commitment to developing high-quality solutions.

Responsibilities:

Support, run, and iterate existing AI applications. Design, develop, deploy, and maintain new AI applications which can be scaled across multiple business use cases, driving operational and commercial outcomes. Trial and test solutions with end users to iterate and optimise them. Research and analyse data sets using a variety of statistical and machine learning techniques. Track and understand the evolving AI landscape.

Candidate specification:

The successful candidate will be a highly professional, well-rounded individual who possesses strong problem-solving skills, engineering ability, strategic acumen, and interpersonal skills. They will have a strong academic pedigree followed by a first-rate career to date.

Candidates will have:

Experience building solutions with LLMs and a deep understanding of the overall generative AI landscape. Strong Python development experience, including writing production-quality code. Experience working with front-end languages (e.g. JavaScript, React, HTML, CSS). Solid understanding of fundamentals of statistics and ML theory. 2+ years of relevant, post-university work experience. An undergraduate degree in a quantitative field such as Mathematics or Computer Science, or equivalent relevant industry experience. Previous professional services experience would be beneficial. Strong verbal and written communication skills, with ability to communicate technical information and ideas at all levels. Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users. Curiosity, ownership, and willingness to work both collaboratively and independently.

Desirable skills/knowledge:

Developing cloud applications on Microsoft Azure. DevOps (CI/CD, git, etc.). Secure development.

Our Benefits

In addition to life assurance, group income protection, and employer pension contribution, we offer:

Annual discretionary bonus 25 days’ annual leave, excluding bank holidays (plus your Birthday off) Private medical cover and employee assistance programme Family-friendly policies Complimentary artisan coffee, tea and snacks, served by our own barista. Daily breakfast in the café Lunch & Learn training sessions. Cycle 2 work scheme and season ticket loans Flexible working, including support with your home working environment. Eye care, including annual eye tests. Regular social, cultural and charitable activities A comprehensive training and development curriculum Give as you Earn. Menopause Policy

Our Commitment to Diversity, Equity and Inclusion

Maintaining and strengthening a diverse workforce and inclusive workplace are pillars of Brunswick’s culture and key to our future success. Valuing and supporting every colleague as an individual while helping them reach their full potential is critical to attracting and developing our greatest strength – our people. By embracing our differences and diverse perspectives we create richer experiences within our firm and enhance the quality of the ideas and advice that we deliver to our clients.

Brunswick is an equal opportunities employer, and our Equal Opportunities Policy is available on request.

About Brunswick Group

Brunswick is a critical issues firm. We advise the world’s leading companies on how to navigate the critical issues they face and engage with their critical stakeholders.

Our purpose is to help our clients play their role in the world more successfully. We help the leaders of the world’s great value-creating organizations operate successfully across the increasingly complex and fast-changing arenas of finance, politics and society at large.

Brunswick is one firm globally, operating as a single profit centre. This allows us to respond seamlessly and effectively to clients’ needs wherever they are in the world.

Background

Founded in London in 1987, Brunswick’s global partnership has grown organically to 27 offices in 18 countries. We began as a M&A and financial communications firm and, over time, expanded our capabilities to provide expert advice to our clients on a range of business critical issues. We invested in new offices, sector teams and practice groups including investor engagement; shareholder activism; governance; regulatory and public affairs, including geopolitical; crisis; litigation; social issues including climate change and diversity, equity and inclusion; cybersecurity, data and privacy; employee engagement; digital communications; opinion research and analysis, and; creative services.

Our incoming CEO is Henry Timms, based in New York. Our Chairman is Sir Alan Parker, based in London.

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 Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.