Software Developer
Role details
Job location
Tech stack
Job description
AI-powered solutions, requiring strong machine learning engineering skills. The ideal candidate will have extensive experience in building production-ready ML systems and a proven track record of deploying AI solutions at scale.
ResponsibilitiesAI/ML Development
Design, develop, and deploy machine learning models and pipelines using Python
Build and maintain end-to-end ML systems from data ingestion to model serving
Implement deep learning solutions using PyTorch and TensorFlow
Develop and optimise NLP solutions and computer vision applications
Create scalable feature engineering and data preprocessing pipelines
Build model training, evaluation, and monitoring frameworks
Implement MLOps practices for continuous model improvement
Design and maintain vector databases for similarity search and RAG applications
Integrate LLMs and foundation models into production applications
Optimise model inference for latency and throughput
Requirements
requirements
Software Development
Write clean, efficient, and maintainable Python code following best practices
Build RESTful APIs and microservices for ML model serving
Develop data processing pipelines using Apache Spark and Airflow
Implement real-time streaming solutions for ML features
Design and optimise database solutions for ML workloads
Build monitoring and observability solutions for ML systems
Contribute to system architecture and infrastructure decisions
Implement comprehensive testing strategies for ML applications
Skills and ExperienceWe're looking for candidates who have experience with some of these technologies and are eager to learn others.
Core Technologies
Python: Expert level - 5+ years of production experience
Machine Learning Frameworks: PyTorch and/or TensorFlow - 3+ years
ML Libraries: scikit-learn, XGBoost, LightGBM - Strong proficiency
Data Processing: pandas, NumPy, Spark
- Expert level
Deep Learning: CNNs, RNNs, Transformers - Practical experience
Version Control: Git proficiency with focus on ML workflows
ML/AI Specific Skills
Experience with LLMs (GPT, Claude, Llama) and prompt engineering
Vector databases (Pinecone, Weaviate, Chroma, or similar)
RAG (Retrieval Augmented Generation) implementation
Computer Vision libraries (OpenCV, PIL, torchvision)
NLP libraries (spaCy, NLTK, Hugging Face Transformers)
Model optimisation techniques (quantisation, pruning, distillation)
A/B testing for ML models
Feature stores and data versioning
Infrastructure & MLOps
Container technologies: Docker and Kubernetes for ML workloads
ML platforms: MLflow, Kubeflow, or similar
Cloud ML services: AWS SageMaker, Azure ML, or GCP Vertex AI
Model serving frameworks: TorchServe, TensorFlow Serving, FastAPI
Distributed training experience (Horovod, DDP)
GPU optimisation and CUDA programming basics
Monitoring tools: Weights & Biases, Neptune, or similar
Data pipeline orchestration: Airflow, Dagster, or Prefect
Additional Technical Skills
Database systems: PostgreSQL, MongoDB, Redis
Message queues: Kafka, RabbitMQ for ML pipelines
RESTful API and gRPC development
Microservices architecture for ML systems
Data engineering fundamentals
Security best practices for AI systems
Performance optimisation for inference
Required Soft Skills
Communication: Ability to explain complex ML concepts to non-technical stakeholders
Collaboration: Experience working with cross-functional teams including data scientists
Problem-solving: Strong analytical skills for debugging ML systems
Research: Ability to read and implement academic papers
Innovation: Track record of applying cutting-edge AI techniques
Experience & Education
Experience: 5-8+ years of software development with 3+ years focused on ML/AI
Education: Bachelor's degree in Computer Science, Machine Learning, or related field; Master's/PhD preferred
Industry: Experience deploying ML models in production environments
Working Methodology
Agile/Scrum experience with ML projects
Familiar with experiment tracking and reproducibility
Experience with iterative model development
Focus on continuous learning and improvement
Nice to Have
Published research papers or patents in ML/AI
Contributions to open-source ML projects
Experience with edge deployment and model optimisation
Knowledge of reinforcement learning
Experience with multi-modal models
Familiarity with ethical AI and bias mitigation
Cloud certifications in ML/AI services
Benefits
33 days holiday (including bank holidays)
Personal health cash plan - claim back the cost of things like dentist and optical
About the company
Job title: Senior Software Developer
Department: IT
Location: Remote
Hours: 37.5 hours per week
We're looking for a Senior Software Developer to be part of our success story.
Listed in the 2022 Sunday Times 100: Britain's fastest-growing private companies.
Great career development opportunities - grow with us.
About the roleWe are seeking an experienced Senior Software Developer with expertise in AI/ML and Python to join our team development team. This role combines hands-on development of, check-ups
Enhanced maternity / paternity / adoption / shared parental pay
Life assurance: three times basic salary
Free breakfasts and fruit
Birthday surprise for everybody
What you can expect from usAt Activate Group, looking after team members is a major priority. Whether you're at our smart Halifax or Peterborough offices, one of our AAR sites or working from home, we'll make sure you have all the support you need to succeed.
From benefits that put your health and wellbeing first, to impressive rewards for our employee of the month, and little perks like free fruit and cereal, we'll go out of our way to show how much we appreciate you.
A bit about usNamed by the Sunday Times as one of the UK's 100 fastest-growing private companies, we employ more than 700 team members nationwide.
We work with some of the UK's largest fleets and insurance companies, supporting drivers that have been involved in a road incident at our contact centres in Halifax and Peterborough.
We look after every step of the repair process, repairing vehicles at our own Activate Accident Repair body shops, and through a UK-wide network of independent repair partners.
Want to know what it's like to work with us? Take a look at our purpose and values. They define who we are, and how we work with team members, customers and suppliers:
PurposeMake someone's bad day better
Values
Make it happen - Be accountable. Take the initiative, work fast, and do a great job.
Strive for better - Be bold. Challenge the norm - make small improvements often.
Win together - Be a team-player. Win together, learn together, respect each
