We have an exciting opportunity for Lead AI Developer to join an excellent client's team based in Brighton. The successful candidate will be strong technically but will also need to be comfortable being involved on the product side of things and dealing with customers when required. You will quickly become a vital part of an already successful … of things and will of course be required to mentor more junior developers within the team. The main responsibilities would be assisting in building a product and internal AI roadmap, customer demonstrations and communication, integrating AI developments for our client's product. Skills required: 7+ years' experience within Senior/Lead Developer roles Knowledge of developing … applications with C#, .NET Core Strong Angular knowledge Strong database knowledge - SQL Server up-to-date knowledge and practical experience with LLMs Azure OpenAI, AWS Bedrock, or GoogleVertex Azure DevOps Test-driven Development (TDD) and unit test frameworks Agile development methodologies Strong Angular knowledge Deployment of software to the AWS and Azure platforms If you feel you More ❯
We have an exciting opportunity for Lead AI Developer to join an excellent client's team based in Brighton. The successful candidate will be strong technically but will also need to be comfortable being involved on the product side of things and dealing with customers when required. You will quickly become a vital part of an already successful … of things and will of course be required to mentor more junior developers within the team. The main responsibilities would be assisting in building a product and internal AI roadmap, customer demonstrations and communication, integrating AI developments for our client's product. Skills required: 7+ years' experience within Senior/Lead Developer roles Knowledge of developing … applications with C#, .NET Core Strong Angular knowledge Strong database knowledge - SQL Server up-to-date knowledge and practical experience with LLMs Azure OpenAI, AWS Bedrock, or GoogleVertex Azure DevOps Test-driven Development (TDD) and unit test frameworks Agile development methodologies Strong Angular knowledge Deployment of software to the AWS and Azure platforms If you feel you More ❯
As a Machine Learning Engineer at RebelsAI, you will play a crucial role in designing, developing, and implementing (generative) AI solutions for our clients. You will work closely with our founders in a real startup environment. About the job Developing and implementing machine learning models on various cloud platforms (GoogleCloud, Azure, AWS) Utilizing tools such as VertexAI, BigQuery, Cloud Dataflow, and Cloud Dataproc to build and tune ML pipelines Optimizing infrastructure choices, including VMs, containers, GPUs, and TPUs Implementing data security and privacy protection in ML activities Required Skills & Qualifications Recently graduated, preferably with a Master's in Data Science, Computer Science, Artificial Intelligence, or a related field Fluent in English and … NumPy, Pandas, and scikit-learn Machine Learning Basics: Understanding of fundamental machine learning concepts About RebelsAI At RebelsAI, we were driven by a vision to lead a revolutionary AI transformation in the corporate world. Our founding mission is to empower organizations to harness the immense power of Generative Artificial Intelligence and transition into AI-driven organizations. More ❯
a key technical advisor, guiding teams on best practices for microservices design, event-driven systems, security, data integration, and cloud-native architectures while continually exploring and applying generative AI solutions to enhance our integration platforms. In this role you can expect to work on the below: Develop and maintain integration architectures across hybrid, on-premise, and multi-cloud … the in-house expert for leading iPaaS solutions (Boomi, SnapLogic, Workato, Azure Integration Services), guiding the design and implementation of integration flows. As appropriate, evaluate and integrate generative AI capabilities (e.g., large language models advanced NLP toolkits) into our integration stack. You will stay current with AI/ML trends (e.g., transformer architectures, Hugging Face, VertexAI on GCP, Azure Cognitive Services, AWS Sagemaker) and identify opportunities to incorporate new technology for improved efficiency and innovation. You will work closely with clients as the technical SME, gathering requirements and translating them into high-level integration blueprints. Lead teams of developers and engineers to implement proposed architectures, ensuring best practices around CI/ More ❯
We are looking for a talented and passionate Senior Data Engineer to join our team. In this role, you'll be at the heart of our AI pipeline, ensuring seamless integration, scalability, and reliability of our data processes. About the company Company Anecdote/Anecdote is an innovative, AI-first startup revolutionizing how companies analyze customer … feedback. Our AI-powered platform consolidates feedback from app reviews, support chats, surveys, and social media into a single, easily accessible space. This enables companies like Grubhub, Dropbox, and Careem to collect and derive actionable insights and deliver a better, real-time customer experience that drives sustainable growth. We are backed by top investors, including Neo, Sukna, Race … growing pile of 100s of integrations. Ensure they are reliable and responsive. Own the Integrations: Implement new connections and be the master and owner of these integrations. Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and More ❯
SuperDial is looking for a Staff Machine Learning Engineer (MLE) to build and deploy AI-driven solutions that transform healthcare operations. This role is for an engineer who thrives on scaling ML models, optimizing inference pipelines, and deploying real-world AI applications in production. If you enjoy solving complex engineering challenges, fine-tuning large models, and … working with best-in-class tools to power AI-driven decision-making, we want to hear from you! About the role: Design, develop, and deploy production-grade machine learning models to enhance revenue cycle management and healthcare workflows. Optimize and scale ML inference pipelines for efficiency, latency, and reliability. Work with engineering teams to integrate AI … evaluation, and deployment. Implement monitoring and observability for ML models in production to ensure performance, drift detection, and continuous improvement. Stay at the forefront of LLM and voice AI advancements, leveraging state-of-the-art techniques to improve our AI stack. About You: 5+ years of experience in machine learning engineering, AI infrastructure, or More ❯
refining the machine learning infrastructure to support business objectives. Your role will also involve optimizing workflows, integrating CI/CD pipelines, and ensuring the scalability and reliability of AI-driven solutions. Key Responsibilities : Model Deployment : Collaborate with data scientists to deploy machine learning models, ensuring quality and scalability. Pipeline Development : Build and maintain model pipelines to integrate with … Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (AWS, GCP, Azure) Experience with CI/CD pipelines for machine learning (e.g., VertexAI) Familiarity with data processing tools like Apache Beam/Dataflow Strong understanding of monitoring and maintaining models in production environments Experience with containerization tools (e.g., Docker More ❯
month ago Be among the first 25 applicants Direct message the job poster from Convergence At Convergence, we're transforming the way AI integrates into our daily lives. Our team is developing the next generation of AI agents that don't just process information but take actions, learn from experience, and collaborate with humans. By introducing … Large Meta Learning Models (LMLMs) that integrate memory as a core component, we're enabling AI to improve continuously through user feedback and acquire new skills during real-time use. We believe in freeing individuals and businesses from mundane, repetitive tasks, allowing them to focus on innovative and creative work that truly matters. Our personalised AI … productivity and creativity. With a $12 million pre-seed funding from Balderton Capital, Salesforce Ventures, and Shopify Ventures, we're poised to make a significant impact in the AI space. Join us in shaping the future of human-AI collaboration and be part of our mission to transform the AI landscape. Responsibilities Design, implement More ❯
Get AI-powered advice on this job and more exclusive features. This range is provided by In Technology Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from In Technology Group Head of Data, BI, and AI @ In … art techniques in NLP, time series, and anomaly detection Own model evaluation, explainability, and monitoring frameworks in production Stay up to date with developments in the ML/AI ecosystem and bring fresh ideas to the table What we’re looking for: Strong Python skills and experience in ML libraries like scikit-learn, PyTorch, TensorFlow , or XGBoost Hands … model performance metrics, calibration, A/B testing, and monitoring in production systems Experience with cloud platforms (GCP, AWS or Azure), especially managed ML services like SageMaker or VertexAI Proficiency in SQL and working knowledge of distributed computing tools like Spark or Dask Nice to Have: Experience with natural language processing (NLP) e.g., using LLMs More ❯
art techniques in NLP, time series, and anomaly detection Own model evaluation, explainability, and monitoring frameworks in production Stay up to date with developments in the ML/AI ecosystem and bring fresh ideas to the table What we’re looking for: Strong Python skills and experience in ML libraries like scikit-learn, PyTorch, TensorFlow , or XGBoost Hands … model performance metrics, calibration, A/B testing, and monitoring in production systems Experience with cloud platforms (GCP, AWS or Azure), especially managed ML services like SageMaker or VertexAI Proficiency in SQL and working knowledge of distributed computing tools like Spark or Dask Nice to Have: Experience with natural language processing (NLP) e.g., using LLMs More ❯
art techniques in NLP, time series, and anomaly detection Own model evaluation, explainability, and monitoring frameworks in production Stay up to date with developments in the ML/AI ecosystem and bring fresh ideas to the table What we’re looking for: Strong Python skills and experience in ML libraries like scikit-learn, PyTorch, TensorFlow , or XGBoost Hands … model performance metrics, calibration, A/B testing, and monitoring in production systems Experience with cloud platforms (GCP, AWS or Azure), especially managed ML services like SageMaker or VertexAI Proficiency in SQL and working knowledge of distributed computing tools like Spark or Dask Nice to Have: Experience with natural language processing (NLP) e.g., using LLMs More ❯
art techniques in NLP, time series, and anomaly detection Own model evaluation, explainability, and monitoring frameworks in production Stay up to date with developments in the ML/AI ecosystem and bring fresh ideas to the table What we’re looking for: Strong Python skills and experience in ML libraries like scikit-learn, PyTorch, TensorFlow , or XGBoost Hands … model performance metrics, calibration, A/B testing, and monitoring in production systems Experience with cloud platforms (GCP, AWS or Azure), especially managed ML services like SageMaker or VertexAI Proficiency in SQL and working knowledge of distributed computing tools like Spark or Dask Nice to Have: Experience with natural language processing (NLP) e.g., using LLMs More ❯
london (city of london), south east england, united kingdom
In Technology Group
art techniques in NLP, time series, and anomaly detection Own model evaluation, explainability, and monitoring frameworks in production Stay up to date with developments in the ML/AI ecosystem and bring fresh ideas to the table What we’re looking for: Strong Python skills and experience in ML libraries like scikit-learn, PyTorch, TensorFlow , or XGBoost Hands … model performance metrics, calibration, A/B testing, and monitoring in production systems Experience with cloud platforms (GCP, AWS or Azure), especially managed ML services like SageMaker or VertexAI Proficiency in SQL and working knowledge of distributed computing tools like Spark or Dask Nice to Have: Experience with natural language processing (NLP) e.g., using LLMs More ❯
art techniques in NLP, time series, and anomaly detection Own model evaluation, explainability, and monitoring frameworks in production Stay up to date with developments in the ML/AI ecosystem and bring fresh ideas to the table What we’re looking for: Strong Python skills and experience in ML libraries like scikit-learn, PyTorch, TensorFlow , or XGBoost Hands … model performance metrics, calibration, A/B testing, and monitoring in production systems Experience with cloud platforms (GCP, AWS or Azure), especially managed ML services like SageMaker or VertexAI Proficiency in SQL and working knowledge of distributed computing tools like Spark or Dask Nice to Have: Experience with natural language processing (NLP) e.g., using LLMs More ❯
XGBoost, Prophet, PyTorch, Scikit-learn Deep knowledge of MLOps , reproducibility practices, and scalable experimentation Experience deploying models with CI/CD pipelines, containerisation , and cloud tools (e.g., SageMaker, VertexAI, GCP pipelines ) Strong data engineering instincts - including building and optimising ETL processes for large, structured and unstructured datasets Exceptional collaboration skills with the ability to influence More ❯
Manchester, England, United Kingdom Hybrid / WFH Options
Starling Bank
in data science, with a focus on machine learning model development/Large Language Model (LLM) application development. Experience deploying Generative AI applications to production in GCP (VertexAI) or AWS (Bedrock). Demonstrable experience monitoring the performance and output quality of generative models, including assessing/mitigating hallucinations and coherence of generated content. Desirables: Experience fine-tuning large More ❯
You are a smart, curious, and analytical person with a bias for action. What Technologies We Use: Python, dbtLabs, SQL, GitHub Actions (CI/CD) Terraform, Docker, MLOps Platform (VertexAI, Sagemaker and MLFlow) With ecobee, you'll have the opportunity to: Be part of something big: Get to work in a fresh, dynamic, and ever-growing industry. Make a difference More ❯
London, England, United Kingdom Hybrid / WFH Options
ecobee, Inc
You are a smart, curious, and analytical person with a bias for action. What Technologies We Use: Python, dbtLabs, SQL, GitHub Actions (CI/CD) Terraform, Docker, MLOps Platform (VertexAI, Sagemaker and MLFlow) With ecobee, you’ll have the opportunity to: Be part of something big: Get to work in a fresh, dynamic, and ever-growing industry. Make a difference More ❯
your skills and experience — talk with your recruiter to learn more. Base pay range We are recruiting on behalf of our client, a consulting company, for a GoogleCloudAI/ML Data Engineer. This role focuses on building AI-driven marketing automation solutions using the latest GoogleCloud Platform (GCP) and Google Marketing Platform (GMP … data ingestion, and drive campaign optimisation for high-impact marketing projects. Why apply? Collaborate with cross-functional teams in a fast-paced, innovative environment. Lead the development of AI/ML solutions that directly influence marketing strategy. Access to the latest GCP and MarTech tools. This is a contract role, and will require you to work 3 days … a week from their London based office. If you’re passionate about AI/ML, we want to hear from you! Key Responsibilities: As the GoogleCloudAI/ML Data Engineer you will be responsible for: Design and develop AI/ML pipelines using VertexAI for forecasting, targeting More ❯
