Ai training computer science Work, Jobs in Earley, 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
12d
Cloud Platform Engineer
ECMWF —Reading
- £72,471 - £76,384 a year
- Hybrid work
- English
- SQL
- Analysis skills
Claims Data Science Product Owner
Allianz —Guildford
- £58,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- AWS
- Employee discount
8d
Principal Data Engineer
British Airways —Heathrow
- Full-time
- Computer Science
- SQL
- AWS
5d
Senior Oracle HCM Cloud Techno‑Functional Specialist
UL Solutions —Basingstoke
- Oracle
- Computer Science
- Bachelor's degree
Operations Manager, Data Centres
NAB-Jones Lang LaSalle Services —Slough
- Full-time
- Computer Science
- Engineering
- Bachelor's degree
Quick apply
Sr Industry Consultant - AstraZeneca
SAS —Marlow
- Hybrid work
- Bachelor's degree
- Travel
- Computer networking
VodafoneThree - Senior Engineer - Gateway Functions
VodafoneThree —Newbury
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
- Employee discount
Quick apply
AI & Automation Specialist
ECMWF —Reading
- £76,384 a year
- Hybrid work
- English
- Master's degree
- SQL
AI and Digital Solutions Engineer
TrustFlight —Bracknell
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Machine learning
Quick apply
Software Engineer, Data Infrastructure & Acquisition - Reading, United Kingdom
Speechify —Reading
- Remote
- Doctoral degree
- Computer Science
- Master's degree
10d
Graduate Trainee
Unicorn Orange —Farnham
- From £26,000 a year
- Full-time
- SQL
- Analysis skills
- In-person
- Free parking
- Work from home
Quick apply
2d
Data Analytics & AI Solutions Group Leader
UL Solutions —Basingstoke
- Remote
- Computer Science
- Master's degree
- Bachelor's degree
- Annual leave
9d
PhD Programme Studentship
The Rosalind Franklin Institute —Harwell
- Full-time
- Data analysis skills
- Laboratory experience
- Maths
13d
Principal Business Analyst, Investment Technology
Invesco —Henley on Thames
- Full-time
- Hybrid work
- Computer Science
- Customer service
- Data analysis skills
- Annual leave
- Life insurance
Head of Engineering (Hybrid)
Automation Consultants Ltd —Reading
- £110,000 - £120,000 a year
- Hybrid work
- Management
- Computer Science
- AWS
- Annual leave
- Flexible schedule
Training Lab Manager
Delinea —Bracknell
- £50,000 - £63,000 a year
- Full-time
- Azure
- Computer Science
- Laboratory experience
- Employee assistance programme
- Life insurance
12d
Scientific Software Engineer
Oxford BioTherapeutics —Oxford
- £60,000 - £80,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
- Free parking
- Referral programme
Quick apply
Senior Program Manager
ASSA ABLOY —Reading
- Part-time
- Spanish
- Computer Science
- PMP
- Annual leave
Senior Analyst Business Intelligence - 3PL Order Management and Finance Operations
Alliance Healthcare —Woking
- Full-time
- Azure
- Bachelor's degree
- Agile
7d

I want to receive the latest job alerts for ai training computer science in earley, brk

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

AI Solutions Engineer

Techgroove Limited
Basingstoke

Quick apply

Job details

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

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 training computer science jobs in earley, brk

AI Solutions Engineer

Cloud Platform Engineer

Claims Data Science Product Owner

Principal Data Engineer

Senior Oracle HCM Cloud Techno‑Functional Specialist

Operations Manager, Data Centres

Sr Industry Consultant - AstraZeneca

VodafoneThree - Senior Engineer - Gateway Functions

AI & Automation Specialist

AI and Digital Solutions Engineer

Software Engineer, Data Infrastructure & Acquisition - Reading, United Kingdom

Graduate Trainee

Data Analytics & AI Solutions Group Leader

PhD Programme Studentship

Principal Business Analyst, Investment Technology

Head of Engineering (Hybrid)

Training Lab Manager

Scientific Software Engineer

Senior Program Manager

Senior Analyst Business Intelligence - 3PL Order Management and Finance Operations

I want to receive the latest job alerts for ai training computer science in earley, brk

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected