Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

AI Engineer

Digbeth
11 months ago
Applications closed

Related Jobs

View all jobs

Ai Engineer / Data Scientist

AI Engineer - Data/MLOps

AI Engineer (data science & software)

Azure AI Data Engineer

Founding AI Data Engineer

Data Science and AI Engineer (KTP Associate) - REDEPLOYEES ONLY

Job Title: AI Engineer
Location: Birmingham (hybrid)

Salary: £40-50k

Roles and Responsibilities

As an AI Engineer, you will play a pivotal role in developing and deploying cutting-edge AI solutions to solve real-world challenges. Your key responsibilities will include:

Designing, developing, and deploying AI/ML models and algorithms to address business needs.
Working with cross-functional teams to integrate AI solutions into existing systems or develop new AI-driven products.
Monitoring the performance of AI models post-deployment and making necessary adjustments for continuous improvement.
Leveraging LLMs to assist in automating and optimising code generation, reducing development time and improving efficiency.
Developing tools and workflows powered by LLMs to support software engineers in debugging, refactoring, and enhancing code quality.
Implementing LLM-based solutions to streamline documentation creation, code review processes, and knowledge sharing across teams.
Documenting technical processes and presenting findings to stakeholders in a clear and concise manner.Key Skills and Qualifications

We are looking for a talented AI Engineer with the following skills and experience:

Technical Skills

Proficiency in programming languages such as Python & JavaScript
Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Keras).
Experience with data preprocessing tools and libraries (e.g., pandas, NumPy, scikit-learn).
Familiarity with technologies such as React & Next.js
Experience with LLMs such as GPT4.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI/ML deployments.
Knowledge of big data technologies like Spark, Hadoop, or Kafka is a plus.
Proficient in version control tools like Git and CI/CD pipelines for machine learning workflows.Other Requirements

A degree in Computer Science, Data Science, Mathematics, or a related field. A Master's/PhD is a plus.
2+ years of experience in AI/ML development or a related role.
Strong problem-solving and analytical skills.
Excellent communication skills and ability to work collaboratively in a team environment.Why Join Us?

Work on cutting-edge AI projects with a talented and passionate team.
Huge emphasis placed on AI tools and technologies.
Opportunities for career growth and professional development.
Access to the latest AI tools and resources.
25 days annual leave + bank holidays, pension contributions, private healthcareHow to Apply
Interested? Submit your CV detailing your relevant experience to apply today!

BeTechnology Group Limited is acting as an Employment Agency in relation to this vacancy

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.