in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and more »
City Of London, England, United Kingdom Hybrid / WFH Options
RJC Group
or AWS experience Data access methods (SQL, GraphQL, APIs) Beneficial Requirements Experience around data science tools and algorithms Manipulation technologies (e.g., WebSockets, Kafka, Spark) TensorFlow, Pandas, pySpark and scikit-learn would be great Salary up to £75K + 20% bonus and benefits package We have interview slots lined up more »
5+ years of experience in machine learning Prior experience in developing generative models Passion for tackling complex, transformative projects Proficiency in AWS, Python, PyTorch, TensorFlow, and Git Strong communication skills and the ability to collaborate cross-functionally Excited about the opportunity? Apply now or connect with daisy@wearenumi.com for more »
AI Deep understanding of ML algorithms, DL architectures, RL Insight into generative models, transformer architecture, and training of LLMs Proficiency in Python, familiarity with TensorFlow, PyTorch, Hugging Face transformers and LangChain Effective communication, especially in explaining AI conecpts to non-technical stakeholders NEXT STEPS Interested in the vacancy? We more »
in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and more »
in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and more »
London, England, United Kingdom Hybrid / WFH Options
Harnham
particularly in the context of SLAM. Demonstrate proficiency in analyzing 3D Video and performing 3D reconstruction. Technical expertise: Python, Deep Learning frameworks (PyTorch or TensorFlow), AWS. SALARY AND BENEFITS Competitive salary range: ££90,000 to £110,000 Equity ownership in the company. Comprehensive benefits package. HOW TO APPLY Please more »
deploying desktop applications. DevOps Practices : Understanding modern DevOps practices, version control systems (e.g., Git), and CI/CD pipelines. ML Frameworks : Experience with PyTorch, TensorFlow, or NumPy. More about you: An experienced engineer with a track record in modern software engineering and DevOps practices. Passionate about performance and reliability more »
architecture, including containers and serverless implementation. E.g. Kubernetes, Docker, OpenShift, AWS Lambda, Cloud Functions (GCP). • Machine learning tools and techniques, e.g. Auto ML, Tensorflow, Natural Language, Vision AI Common technology components: Google Cloud • App Engine • Cloud Functions • Kubernetes Engine, Compute Engine, VPCs • Cloud Spanner, Cloud SQL and BigQuery more »
Skills: Individuals in this role are expected to be accomplished in computational biology or machine learning. Experience using a deep learning frameworks like PyTorch, Tensorflow and/or Jax. Experience with any of the following biological topics would be a plus; Cryo-EM/ET data analysis: denoising, filtering more »
mentor team members. REQUIREMENTS: Bachelor's degree in Computer Science, Engineering, Mathematics, or related field. Demonstrated success in AI solutions for insurance. Proficiency in TensorFlow, PyTorch, Python, Java, and cloud platforms. Understanding of insurance business and regulations. Strong communication and leadership skills. NEXT STEPS: If this role looks of more »
deploy AI models. Requirements: PhD in AI or Computer Science with at least one top-tier publication. Strong proficiency in Python, Numpy, Scipy, and Tensorflow/PyTorch. Extensive understanding of state-of-the-art LLMs and the latest research methods and best practices. Experience in developing ML pipelines and more »
within a multi-strategy hedge fund environment. Strong programming skills in Python, R, or C++, with a focus on Machine Learning libraries such as TensorFlow or scikit-learn. Demonstrated success in developing and trading medium frequency statistical arbitrage strategies, with examples of applying Machine Learning techniques for predictive analytics. more »
digital media Quantitative degree from a top university The following is DESIRABLE, not essential: Candidates with previous experience with LLM models Commercial Experience with Tensorflow/Keras Developing cloud native systems An enthusiasm for data visualisation and dashboarding Benefits: Making a serious impact from day one. We're an more »
Machine Learning and Artificial Intelligence including ML and AI techniques to develop predictive models and enhance algorithmic strategies. Familiarity with libraries and frameworks like TensorFlow, PyTorch, or Scikit-Learn can be particularly useful. If this role is of interest, please share your CV and we can discuss the role more »
performance architecture of NPU/GPU/CPU/AI accelerators ML model training, quantization, sparsity, model preprocessing etc. Software-hardware co-design PyTorch, TensorFlow NCCL, OpenMPI C/C++, Python Verilog, RTL What’s on offer? The succesful Architect is most likely to achieve a six-figure salary more »
City of London, London, United Kingdom Hybrid / WFH Options
Eligo Recruitment Ltd
Define, evaluate and assess AI systems performance Explore and implement state-of-the-art algorithms to keep our product on the cutting edge techniques Tensorflow and PyTorch Why apply to this Machine Learning Engineer role? This company is partnering with global clients to develop life-saving products so you more »
Employment Type: Permanent
Salary: £80000 - £100000/annum Plus Bonus and benefits
and visualisation techniques, supporting LabX’s strategic objectives. Implement and customise GeoAI techniques, using ESRI’s pre-trained models (and others) and frameworks like TensorFlow and PyTorch, to analyse geospatial data from imagery, video, point clouds, and text. Design, implement, and optimise machine learning models for urban planning applications … such as Pandas and GeoPandas for data analysis and geospatial data manipulation. Advanced AI and computer vision expertise, with practical knowledge in using C++, TensorFlow, PyTorch, and OpenCV for object detection, image segmentation, and optical character recognition. Excellent analytical skills, able to work effectively in a multidisciplinary team. Desirable more »
strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to join? Get in touch. Salary and total compensation is purely based on performance of your models and the more »
different data sources and types Commercially astute. Excellent communication, planning and interpersonal skills. What Sets You Apart Software experience with Geospatial technologies Experience with Tensorflow & BigQuery. Comfortable building automated test infrastructure for ML models. WHAT'S IN IT FOR YOU We offer great personal development opportunities and roles with more »
London, England, United Kingdom Hybrid / WFH Options
AWTG Ltd
About us: AWTG, a leader in 5G systems integration and application development, is looking for Python Developer to join its division based in London. AWTG’s technology solution covers Digital Transformation, Rapid Prototyping, Artificial Intelligence, Internet of Things, and Software. more »
their more complex ETL and advanced analytics functions, e.g. Time Series Processing. They soon plan to integrate other approaches, including native distributed PyTorch/Tensorflow, Spark-based distributor libraries, or Horovod. TECH STACK: Python, Flask, Redis, Postgres, React, Plotly, Docker. Temporal; AWS Athena SQL, Athena & EMR Spark, ECS Fargate … progressing on critical path, both individually and as a team NICE TO HAVES Distributed machine learning (Spark distributors, Horovod, native distributed on PyTorch or Tensorflow) Productionisation experience on multiple clouds Familiarity with MLOps principles and practices, and their application in a production setting COMPENSATION/BENEFITS : £100k salary (or more »
following: Extensive experience MLIR/LLVM Compiler Development Advanced C++ programming skills Understanding of AI Processors is preferred Familiarity of AI frameworks such as Tensorflow, PyTorch, etc. If you’re a MLIR Compiler Lead looking for an exciting new challenge within a great company, then please apply today to more »
and implementing high-performance Python-based solutions to support our multi-strategy trading platform, leveraging cutting-edge libraries and frameworks such as NumPy, pandas, TensorFlow, and PyTorch. Collaborating closely with quantitative analysts and traders to develop and deploy sophisticated algorithmic trading strategies, utilizing advanced mathematical models and machine learning … understanding of its inner workings, including memory management, concurrency, and performance optimization. Proficiency in data science and machine learning libraries such as scikit-learn, TensorFlow, and PyTorch, with hands-on experience in developing and deploying machine learning models in production environments. Familiarity with financial markets and trading concepts, including more »
a high-performing, cross-functional team of ML engineers, data scientists, and domain experts. Evaluate and select appropriate ML models, frameworks, and technologies (e.g., TensorFlow, PyTorch, Kafka) to address specific business challenges. Collaborate with stakeholders (CTO, CEO, SVP of Legal Services, Product Management, Development teams) to integrate ML and … techniques. Hands-on experience in building and deploying end-to-end ML solutions. Strong programming skills in Python and proficiency in ML frameworks (e.g., TensorFlow, PyTorch). Expertise in cloud computing platforms (AWS, Azure) and containerization technologies (Docker) for scalable ML model deployment. Understanding of data privacy, security, and more »
