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Activate Group Limited Logo Activate Group Limited · IT - Software Development

Senior Software Developer

United Kingdom · Job Posted January 22, 2026
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Job Description

We’re looking for a Senior Software Developer to be part of our success story. We 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 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.

Job Responsibility

  • 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 optimize 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
  • Optimize model inference for latency and throughput requirements
  • 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 optimize 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

Requirements

  • Expert level Python with 5+ years of production experience
  • 3+ years experience with PyTorch and/or TensorFlow
  • Strong proficiency with scikit-learn, XGBoost, LightGBM
  • Expert level data processing with pandas, NumPy, Spark
  • Practical experience with CNNs, RNNs, Transformers
  • Git proficiency with focus on ML workflows
  • Experience with LLMs (GPT, Claude, Llama) and prompt engineering
  • Experience with vector databases (Pinecone, Weaviate, Chroma, or similar)
  • RAG (Retrieval Augmented Generation) implementation experience
  • Experience with Computer Vision libraries (OpenCV, PIL, torchvision)
  • Experience with NLP libraries (spaCy, NLTK, Hugging Face Transformers)
  • Knowledge of model optimization techniques (quantization, pruning, distillation)
  • Experience with A/B testing for ML models
  • Experience with feature stores and data versioning
  • Experience with Docker and Kubernetes for ML workloads
  • Experience with ML platforms (MLflow, Kubeflow, or similar)
  • Experience with Cloud ML services (AWS SageMaker, Azure ML, or GCP Vertex AI)
  • Experience with model serving frameworks (TorchServe, TensorFlow Serving, FastAPI)
  • Distributed training experience (Horovod, DDP)
  • GPU optimization and CUDA programming basics
  • Experience with monitoring tools (Weights & Biases, Neptune, or similar)
  • Experience with data pipeline orchestration (Airflow, Dagster, or Prefect)
  • Experience with database systems (PostgreSQL, MongoDB, Redis)
  • Experience with message queues (Kafka, RabbitMQ for ML pipelines)
  • RESTful API and gRPC development experience
  • Microservices architecture for ML systems experience
  • Data engineering fundamentals
  • Security best practices for AI systems
  • Performance optimization for inference
  • Ability to explain complex ML concepts to non-technical stakeholders
  • Experience working with cross-functional teams including data scientists
  • Strong analytical skills for debugging ML systems
  • Ability to read and implement academic papers
  • Track record of applying cutting-edge AI techniques
  • 5-8+ years of software development with 3+ years focused on ML/AI
  • Bachelor’s degree in Computer Science, Machine Learning, or related field
  • Master’s/PhD preferred
  • Experience deploying ML models in production environments
  • 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 optimization
  • Knowledge of reinforcement learning
  • Experience with multi-modal models
  • Familiarity with ethical AI and bias mitigation
  • Cloud certifications in ML/AI services

What we offer

  • 33 days holiday (including bank holidays)
  • Personal health cash plan – claim back the cost of things like dentist and optical check ups
  • Enhanced maternity / paternity / adoption / shared parental pay
  • Life assurance: three times basic salary
  • Free breakfasts and fruit
  • Birthday surprise for everybody
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