Ai/ml engineer Work, Jobs in Reading, Brk (with Salaries)

AI Solutions Engineer
Techgroove Limited —Basingstoke
- £55,000 - £60,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
- Annual leave
Quick apply
Artificial Intelligence Engineer
Oxford Dynamics —Oxford
- Full-time
- Hybrid work
- Master's degree
- AWS
- AI
- Flexible schedule
Quick apply
AI Engineer Defence - 3 months Contract
Oxford Dynamics —Oxford
- Full-time
- Hybrid work
- Master's degree
- AWS
- AI
Quick apply
2d
Solution Engineer - UK
Neural Concept —Oxford
- Full-time
- Hybrid work
- CAD
- Engineering
- English
- Flexible schedule
Machine Learning Engineer 1
AIOI NISSAY DOWA INSURANCE MANAGEMENT LIMITED (ANDIM) —Oxford
- Computer Science
- Master's degree
- Machine learning
- Annual leave
- Employee assistance programme
AI LLM Engineer - Autonomous Network
Capgemini —Abingdon
- Hybrid work
- Azure
- Master's degree
- AWS
Data Scientists
UK Atomic Energy Authority —Culham
- £64,820 a year
- Full-time
- Doctoral degree
- Engineering
- English
- Annual leave
- Employee assistance programme
5d
AI Data Scientist - Autonomous Network
Capgemini —Abingdon
- Hybrid work
- Azure
- Data analysis skills
- Master's degree
Senior AI Developer
BCN Group —Reading
- Full-time
- Hybrid work
- Azure
- Mentoring
- AI
- Annual leave
- Employee assistance programme
Quick apply
11d
Hybrid Algorithm Researcher
Thales —Reading
- Full-time
- Doctoral degree
- Master's degree
- C++
- Annual leave
- Employee assistance programme
Senior Software Engineer, Python (IPLM)
Perforce —Bracknell
- Full-time
- Hybrid work
- Windows
- Scripting
- APIs
- Life insurance
12d
AI System Architect
Lumai —Oxford
- Full-time
- Hybrid work
- AWS
- Machine learning
- AI
- Annual leave
Quick apply
Software Architect - Machine Learning
Beyond Sports —Basingstoke
- £61,860 - £83,190 a year
- Full-time
- Hybrid work
- Azure
- AWS
- Machine learning
- Annual leave
Senior Automation Engineer, Laboratory Automation & Biobanking
Moderna, Inc. —Oxford
- Full-time
- Computer Science
- Engineering
- Laboratory experience
- Annual leave
Systems Architect - Global Data Center Segment - IT Module
Eaton —Slough
- Engineering
- System design
- Microsoft Office
Hybrid Algorithm Lead Researcher
Thales —Reading
- Full-time
- Doctoral degree
- Master's degree
- C++
- Annual leave
- Employee assistance programme
Lead Data Scientist
UK Atomic Energy Authority —Culham
- £71,815 a year
- Full-time
- Doctoral degree
- C++
- Scripting
- Annual leave
- Employee assistance programme
5d
OSS & Autonomous Network Engineer
Capgemini —Abingdon
- Hybrid work
- Master's degree
- Travel
- Computer networking
Engineering Science Consultant - Life Sciences (Graduate)
Capgemini —Abingdon
- Hybrid work
- Doctoral degree
- Engineering
- Master's degree
3d
MLOps Engineer
Lumai —Oxford
- Full-time
- Hybrid work
- Machine learning
- AI
- Python
- Annual leave
Quick apply

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AI Solutions Engineer

Techgroove Limited
Basingstoke

Quick apply

Job details

Permanent | Full-time
£55,000 - £60,000 a year

Benefits

Annual leave
Company pension
Private medical insurance

Qualifications

TensorFlow
Azure
Cloud architecture
Law
Computer Science
Kubernetes
PyTorch
Mathematics
Google Cloud Platform
Master's degree
Microservices
AWS
Docker
Bachelor's degree
Machine learning
PostgreSQL
Terraform
Redis
REST
Django
GitHub
APIs
Financial services
Kafka
Flask
AI
Communication skills
Python

Full job description

Job Title: AI Solutions Engineer
Location: Basingstoke, UK (Hybrid)
Job Type: Full-Time, Permanent
Department: AI Engineering
Reports To: Head of AI Engineering

About the Role
Techgroove is seeking a talented and ambitious AI Solutions Engineer to join our growing AI Engineering team. This is a pivotal role in our company's strategic shift towards becoming a full AI powerhouse. You will sit at the intersection of cutting-edge AI research and real-world business delivery — designing, building, and deploying intelligent solutions that create tangible, measurable value for our enterprise clients. You will work across the full solution lifecycle, from client discovery through architecture, deployment, and ongoing reliability, alongside data scientists, cloud architects, and business consultants in cross-functional squads.

Responsibilities

Solution Design & Delivery

Design, develop, and deploy end-to-end AI solutions using large language models (LLMs), machine learning frameworks, and cloud AI services
Architect and implement RAG (Retrieval-Augmented Generation) systems, AI agents, and conversational AI pipelines tailored to client requirements
Develop proof-of-concept AI applications that demonstrate business value quickly and clearly
Conduct technical discovery sessions with clients to understand requirements and translate them into AI architectural designs

AI & MLOps

Build and optimise ML pipelines including data preprocessing, model training, evaluation, deployment, and monitoring
Integrate AI models and APIs (OpenAI, Anthropic Claude, Azure OpenAI, Hugging Face) into client applications and workflows
Optimise AI systems for performance, cost efficiency, and scalability in cloud environments
Collaborate with data scientists and ML engineers to translate research prototypes into robust, production-ready systems

Safety & Responsible AI

Implement AI safety, security, and responsible AI practices including bias testing, explainability tooling, and access controls

Collaboration & Documentation

Participate in code reviews, architecture decisions, and technical mentoring of junior engineers
Document AI architectures, model cards, and operational runbooks to ensure maintainability and knowledge transfer
Stay at the forefront of AI research — evaluating and recommending new tools, frameworks, and approaches relevant to client needs

Qualifications

Required

Bachelor's or Master's degree in Computer Science, AI, Mathematics, or a closely related field (or equivalent demonstrable experience)
2–5 years of hands-on software engineering or AI/ML engineering experience in production environments
Strong Python proficiency — clean, testable, well-documented code by default
Practical experience building with LLM APIs: OpenAI, Anthropic, Azure OpenAI, or comparable
Experience with RAG architectures, vector databases (Pinecone, Weaviate, pgvector, Chroma), and embedding models
Familiarity with ML frameworks: TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers
Experience with REST API development (FastAPI, Flask, Django REST) and microservices architectures
Hands-on cloud experience on at least one of AWS, Azure, or GCP, particularly AI/ML service offerings
Understanding of MLOps principles: model versioning, CI/CD for ML, experiment tracking, and model monitoring
Strong communication skills — able to explain complex AI concepts to non-technical stakeholders clearly and confidently

Preferred

Experience building agentic AI systems using LangChain, LlamaIndex, AutoGen, or similar orchestration frameworks
Knowledge of fine-tuning LLMs (LoRA, QLoRA, PEFT) and prompt engineering best practices
Experience with data streaming technologies: Kafka, Azure Event Hub, or AWS Kinesis
Familiarity with AI evaluation frameworks and responsible AI practices (bias detection, fairness metrics, explainability)
Experience in regulated industries: financial services, healthcare, or public sector
MLOps tooling: MLflow, Kubeflow, Weights & Biases, or Azure ML pipelines
Understanding of computer vision approaches: object detection, image classification, document digitisation
AWS Certified Machine Learning – Specialty, AWS AI Practitioner, Microsoft Azure AI Engineer Associate, Google Professional Machine Learning Engineer, or DeepLearning.AI certifications (we sponsor certification study for the right candidates)

Tools & Technologies

Languages/Frameworks: Python, FastAPI, LangChain, LlamaIndex
AI/ML: OpenAI API, Anthropic Claude, TensorFlow, PyTorch, Hugging Face, MLflow
Vector Databases: Pinecone, Weaviate
Cloud: AWS, Azure, GCP
Infrastructure: Docker, Kubernetes, Terraform, GitHub Actions
Data: PostgreSQL, Redis

Benefits

Competitive base salary, commensurate with experience, plus annual performance bonus
£3,000 learning & development budget + full certification sponsorship
Private healthcare and dental cover
Hybrid working (Basingstoke HQ + remote)
25 days annual leave + bank holidays + birthday leave
Company pension with employer contributions

Note: At this time, we are not seeking assistance from staffing or recruitment agencies.

Job Types: Full-time, Permanent

Pay: £55,000.00-£60,000.00 per year

Work Location: In person

Quick apply

Refine Your Search

ai/ml engineer jobs in reading, brk

AI Solutions Engineer

Artificial Intelligence Engineer

AI Engineer Defence - 3 months Contract

Solution Engineer - UK

Machine Learning Engineer 1

AI LLM Engineer - Autonomous Network

Data Scientists

AI Data Scientist - Autonomous Network

Senior AI Developer

Hybrid Algorithm Researcher

Senior Software Engineer, Python (IPLM)

AI System Architect

Software Architect - Machine Learning

Senior Automation Engineer, Laboratory Automation & Biobanking

Systems Architect - Global Data Center Segment - IT Module

Hybrid Algorithm Lead Researcher

Lead Data Scientist

OSS & Autonomous Network Engineer

Engineering Science Consultant - Life Sciences (Graduate)

MLOps Engineer

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