Algorithm Specialist

Gold Group

Bristol

1 year ago

Applications closed

Related Jobs

View all jobs

Data Science Specialist – AI Trainer

Python Developer and Machine Learning Specialist: Visa Sponsorship Available

Naimuri - Senior Data Scientist

Data Science and Engineering Specialist

ML-Driven Data Scientist & Engineer (Azure)

Machine Learning Engineer

Job Title:Algorithm Specialist

Location:Bristol

Work Pattern:Onsite

Rate:£65 - £75/hour Umbrella

Duration:6 months - potential to extend

Are you seeking a dynamic AI centred role that challenges you to innovate and make a difference? Look no further! We're a company dedicated to producing cutting-edge products that safeguard lives, and we're searching for a proactive and ambitious Algorithm Specialist to join our team.

Algorithm Specialist Role Description:

As an Algorithm Specialist, you'll be an integral part of our enthusiastic engineering team, responsible for supporting studies, managing complex performance trades between software and hardware and support algorithm proving activities.

Activities span the entire product life cycle, including early research studies, feasibility and concept stages, product development, and customer support. This role offers a broad range of experiences and variety. Our team engages with algorithm users, understanding and responding to their requirements to develop solutions that meet performance needs.

Algorithm Specialist Responsibilities:

Develop specific algorithms or studies to support key programmes.
Conduct concept studies, algorithm design and trade-off studies, trials preparation, trials analysis and reporting, architecture definition, and algorithm and model validation.
Act autonomously as a point of contact for interactions with other project teams, such as Simulation and Modelling, Software, Hardware-in-the-Loop, Systems Design & Validation, and Technical Quality.
Perform technical analyses and investigations into a full range of issues and problems, preparing and developing solutions either individually or as part of a project team.
Engage with algorithm users to understand and respond to their needs effectively.

Skills Required:

Experience in algorithm development in relevant areas such as guidance, control, data fusion, navigation, and artificial intelligence.
Beneficial experience in Mathematical Modelling, including areas such as flight dynamics, aerodynamics, sensors, and actuation systems.
Proficiency in simulation environments (e.g., MATLAB and Simulink, or similar) and programming languages (e.g., FORTRAN, Python).

Join Our Team:

If you're ready to embark on a rewarding engineering journey with opportunities for growth and development, apply now to become our next Algorithm Specialist! We offer a supportive environment where innovation thrives, and your contributions make a real impact.

*Please note that for the position of Algorithm Specialist you must be eligible for Security Clearance

Services advertised by Gold Group are those of an Agency and/or an Employment Business.
We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

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

Jan 18, 2026

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

Jan 13, 2026

Jobs

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.

Jan 5, 2026

Education Jobs

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.