Senior Software Developer Job at Activate Group Limited

Senior Software Developer

Activate Group Limited

Location:
United Kingdom

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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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

Additional Information:

Job Posted:
January 22, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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