A notable part of the role involves building, training, and optimising machine learning models, including deep learning computer vision models, and fine-tuning naturallanguageprocessing (NLP), and integrating third party generative AI models. Ideal background: 3+ years of experience in machine learning, deep learning or AI engineering Advanced proficiency in Python and ML frameworks like PyTorch More ❯
A notable part of the role involves building, training, and optimising machine learning models, including deep learning computer vision models, and fine-tuning naturallanguageprocessing (NLP), and integrating third party generative AI models. Ideal background: 3+ years of experience in machine learning, deep learning or AI engineering Advanced proficiency in Python and ML frameworks like PyTorch More ❯
and GenAI solutions , from PoC to production, using agile methodologies and best practices. Expertise in Agentic AI platforms, especially LangGraph . Apply advanced analytical techniques, such as machine learning, naturallanguageprocessing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications using cloud More ❯
City of London, Greater London, UK Hybrid / WFH Options
Deloitte
and GenAI solutions , from PoC to production, using agile methodologies and best practices. Expertise in Agentic AI platforms, especially LangGraph . Apply advanced analytical techniques, such as machine learning, naturallanguageprocessing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications using cloud More ❯
technical solutions working with business, technical, management, and subject matter experts to deliver products or platform capabilities Experience with applying machine learning solutions to real world problems, ideally around naturallanguageprocessing Proven track record of building and leading high-performance technology teams, and an ability to attract and retain talented individuals An inspirational leader, capable of More ❯
ready data and scalable pipelines. Nice to have Prior experience working in financial services or within a marketing analytics function. Knowledge of customer lifetime value modelling, recommendation systems, or NLP-based content personalization. Exposure to regulatory considerations in marketing data usage (e.g., GDPR, data privacy in finance). More ❯
of commercial experience in a Data Science role building statistical & machine learning models. Have built and deployed machine learning models in production. Excellent use of Python Particular experience in NLP, LLMs, and RAGs are highly prized given the focus on these projects. CI/CD & MLOps experience is valued Databricks experience is valued If this role interests you and you More ❯
Docker, GitHub Actions, or Terraform. Strong problem-solving mindset, comfortable with full-stack development, and collaborative in a cloud-native environment. Microservices, event-driven architecture, data scraping,LLMs/NLP experience is a bonus. Ready to develop cutting-edge data platforms? Apply now or send your CV to Chinmaye.ramnath@james-chase.com More ❯
functional teams to build intelligent systems that autonomously analyze data and generate actionable insights. Stay ahead of the curve by contributing thought leadership in emerging AI technologies, including large language models and generative AI. Required Skills & Experience: Bachelors or Masters degree in Computer Science, Engineering, Mathematics, Statistics, or a related STEM field. 5+ years of hands-on experience in … industrial domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects in a collaborative and forward-thinking environment. If More ❯
automated pipelines using Python , AWS , and Docker to clean, validate, and standardise speech data, detecting duplicates, transcription inconsistencies, or quality issues. Develop and integrate APIs to streamline ingestion and processing of new datasets. Analyse speech datasets to support ASR and TTS model development, performance evaluation, and linguistic research. Implement and manage data version control tools to ensure dataset reproducibility … and product teams to identify opportunities to improve data quality, balance, and diversity through targeted analysis and feedback loops. Key Skills & Experience Strong programming skills in Python for data processing, analysis, and automation. Proficiency with SQL for developing and managing large-scale datasets. Experience with AWS cloud services. Hands-on … experience with Docker and containerised development environments. Familiarity with data versioning tools (e.g., LakeFS, DVC) and dataset reproducibility principles. Strong collaboration and communication skills. Background in speech, audio, or NLP data processing is highly desirable. Interview Process 30-minute video call with the team lead Take-home technical exercise 90-minute face-to-face interview About ConnexAI ConnexAI is More ❯
company advancing mental health research and supporting real-world NHS applications. They are now hiring an AI Engineer to join their growing technical team focused on deploying AI and NLP applications at scale. Youll collaborate closely with data scientists, researchers, and engineers to translate cutting-edge models into production systems, helping deliver impactful clinical tools and insights. What youll be … doing Building infrastructure to deploy NLP and AI models into production Developing backend services and workflows using Python, SQL, and orchestration tools Supporting MLOps, monitoring, and reproducibility of deployed systems Collaborating with cross-functional teams to operationalise research outputs Writing clean, well-documented code and contributing to testing frameworks What were looking for Solid Python engineering experience and familiarity with … containerised environments (Docker, Kubernetes) Knowledge of orchestration tools (e.g. Airflow), queuing systems (e.g. RabbitMQ), and Redis Experience working with or deploying NLP models or large language models Understanding of reproducibility, testing, and modern software practices Strong communication skills and collaborative mindset Desirable Background in healthcare, research environments, or data science teams Experience working with EHR data, Spark, or optimised More ❯
