are under no illusion that this is a challenging role. To succeed, you'll need: A solid understanding of computer science and commonly used algorithms and optimisation techniques (usually means you've done a CS degree or equivalent) Strong hands-on experience with full-stack development (usually means you've more »
and solutions. Design and develop robust, scalable, and efficient software applications using Java, Kotlin, React, JavaScript, MongoDB, and other relevant technologies. Implement machine learning algorithms and integrate AI capabilities into software solutions to enhance performance and functionality. Work closely with DevOps teams to ensure smooth deployment and operation of software … software development, with a strong proficiency in Java, Kotlin, React, JavaScript, and MongoDB. Solid understanding of machine learning concepts and experience in applying ML algorithms to real-world problems. Hands-on experience with cloud platforms, preferably Azure, and expertise in deploying and managing applications on cloud infrastructure. Strong problem-solving more »
efficient data storage and retrieval. Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms. Implement Machine Learning models and algorithms using Pyspark, Scikit Learn, and other relevant tools. Manage Azure DevOps, CI/CD pipelines, GitHub, and Kubernetes (AKS) for efficient software development and deployment. … Lake, Azure Data Factory, Microservices architecture. Experience with Vector Databases, Cosmos DB, Redis, Elasticsearch. Strong programming skills in Python, Spark, Databricks, Pyspark, SQL, ML Algorithms, Gen AI. Knowledge of Azure DevOps, CI/CD pipelines, GitHub, Kubernetes (AKS). Experience with ML/OPS tools such as Azure ML, Databricks more »
initiative to find savings and assist the site teams with implementing them. Additionally, you will be using the EP&T EDGE online platform and algorithms to drive these savings. You will be working closely with the other members of the UK Technical Services Team and will have opportunities to collaborate more »
advertising agency. The successful candidate will have experience as a SEO Manager. You should have a good knowledge about working with PPC, search engine algorithms, web analytics, and technical, on-page and off-page search engine optimization. But most importantly – we want strategic, creative, critical thinkers who will challenge the more »
GCP and Python would be a strong advantage. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Key Skills 3+ years of Python experience Highly statistical … least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) This is a more »
Lead Software Engineer - Javascript/Typescript/OO/Java/C++/C#/Algorithms Location: London Permanent Salaries: £150,000 - £200,000 Contract Rates: £700 - £900/day (outside IR35) Join a dynamic developer tools company at the forefront of transforming global businesses with its feature-rich, cutting … micro and macro aspects of successful software design and be comfortable navigating various languages, frameworks, and platforms. Strong familiarity with common design patterns and algorithms is a prerequisite. In their collaborative and technically stimulating work environment, you'll receive the support and resources needed to thrive. Their developer-centric offices more »
City of London, London, United Kingdom Hybrid / WFH Options
Henry Nicholas Associates Ltd
driving commercial growth. Leading and managing SEO teams, cultivating talent while optimizing workloads and resources. In-depth knowledge of SEO principles and search engine algorithms, alongside proficiency with top-notch SEO tools. Adept at absorbing new techniques to fortify client search rankings against algorithm updates. Proven commercial mindset, making strategic more »
City of London, London, United Kingdom Hybrid / WFH Options
Henry Nicholas Associates Ltd
driving commercial growth. Leading and managing SEO teams, cultivating talent while optimizing workloads and resources. In-depth knowledge of SEO principles and search engine algorithms, alongside proficiency with top-notch SEO tools. Adept at absorbing new techniques to fortify client search rankings against algorithm updates. Proven commercial mindset, making strategic more »
Analytics Developer to join a dynamic team. The successful candidate will play a pivotal role in developing and implementing cutting-edge quantitative models and algorithms to drive trading strategies and decision-making processes into increasingly competitive markets. Responsibilities: Develop and implement quantitative models and algorithms for trading strategies across various … design, test, and deploy algorithmic trading strategies. Conduct quantitative research to identify patterns, anomalies, and opportunities in financial markets. Optimize and enhance existing trading algorithms to improve performance, execution speed, and risk management. Utilize advanced mathematical and statistical techniques to analyze market data, build predictive models, and generate insights. Stay more »
S-Cube is an award-winning energy tech startup based in London. The company specializes in creating revolutionary machine learning optimization algorithms and software for the seismic industry. S-Cube's X-Wave next-generation FWI is used by major global energy companies and continues to grow rapidly. Responsibilities Algorithm … Development : Contribute to the research and development of cutting-edge machine learning algorithms and optimization techniques for seismic data processing and inversion. Data Preprocessing Pipelines : Design and implement robust data preprocessing pipelines to handle large-scale seismic datasets. Visualization and Reporting : Create insightful visualizations and reports to communicate model performance … grasp of advanced undergraduate maths degree topics, in particular - Linear Algebra, Complex numbers, Optimisation theory, Machine learning Experience or demonstrable interest in audio recognition algorithms and related programming paradigms is a bonus Familiarity with Linux, AWS/GCP/Azure, and Front-end/Back-end systems Take end-to more »
backtesting and simulation analysis to evaluate the performance of trading models and optimize parameters. Collaborate with traders and developers to design and implement trading algorithms, including execution logic and risk management controls. Monitor and analyze trading performance in real-time, making adjustments to strategies as needed to adapt to changing … years of experience in quantitative analysis, algorithmic trading, or a similar role within the financial industry. Experience in market making and its associated algorithms is essential Strong understanding of financial markets, trading dynamics, and market microstructure. Proficiency in programming languages such as Python, R, or C++, with experience in quantitative more »
most, and how much advertisers are spending in a channel and country. What You Will Work On Execute on the development of data modeling algorithms with a focus on: analyzing large sets of data, building models, ensuring data accuracy, reliability and consistency. Develop, refine and bring data models to production. … analyzing and presenting data insights and code, communicating effectively with technical developers and non-technical marketing business partners, teammates and leadership; implementing machine learning algorithms, working end-to-end on machine learning pipelines in production; data engineering working on ETL pipelines, crawling APIs and websites, and automating outputs (report generation more »
Janes enables militaries, governments, and defence companies to make critical decisions. Our expert-driven tradecraft, developed over 120 years, combined with human-machine teaming, delivers assured open-source intelligence across military capabilities and order of battle, equipment, events, countries, companies more »
Projects: Neural Networks, NLP, Machine Learning, Deep Learning Responsibilities Analyse raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Lead a small team of data scientist on Neural … Science, Engineering, etc.) Experience with applied Neural Networks (CNN & RNN), LLMs Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, NLP and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Experience Managing/leading teams in DS AI/Python/Data scientist/Machine more »
right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, and structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with the engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in … least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau more »
training plans for tens of thousands of active users. Machine Learning Engineer Skills: Strong Python Programming A deep understanding of designing and implementing complex algorithms, data science and machine learning You should have at least 1 year of professional experience in data science and machine learning, or hold a PhD … take ownership over features Machine Learning Engineer Nice to Haves: Experience with deployment, release cycles, or CI/CD, has experience monitoring models and algorithms in production, has experience with serverless architectures, AWS, and open-source contributions. You have a strong understanding of LLMs or training Deep Learning models Keen more »
with a strong machine learning and AI background to join our team. In addition to exceptional programming skills and knowledge of data structures and algorithms, the ideal candidate should also be proficient in the mathematical underpinnings of deep learning and deeply understand modern AI techniques. As a Senior AI Engineer … experience in AI engineering, machine learning, or a similar role, preferably within the finance industry or at a leading technology company. Strong expertise in algorithms, data structures, multivariate calculus, and linear algebra. Proficient in Python, TensorFlow, PyTorch, or similar languages and frameworks, with experience writing CUDA kernels and profiling GPU more »
Linux System Software Engineer - C/C++/Linux Kernel/Python/Data Structures/Algorithms Are you an experienced Linux Engineer with solid C/C++ programming experience ? Do you want to join a globally recognised company with a focus on research and engineering development in fields such more »
50k, with the opportunity to grow professionally with a highly motivated start up. My client work in EnergyTech and are using AI/ML algorithms for data analysis, which has already led them to become an industry revenue business within 4 years of establishment. You will be responsible for the … research and development of machine learning algorithms optimisation, design and implement pre-processing pipelines for large data, create visualisation and reports for model performance, whilst collaborating with various engineers to improve knowledge and spark innovation. As the Machine Learning Engineer you will ideally have a degree in a relevant industry more »
productivity and efficiency. Keeping abreast of the latest developments in Rust and related technologies, and sharing insights with colleagues. Projects Include: Developing AI-driven algorithms for enhanced situational awareness and decision support in defence operations. Designing secure communication protocols to protect the integrity and confidentiality of sensitive military information. Optimizing … and best practices. Proven track record of designing and implementing high-performance, mission-critical systems in Rust. Solid grasp of computer science fundamentals, including algorithms, data structures, and concurrency. Experience working in Agile environments and delivering software iteratively. Excellent communication skills, with the ability to convey complex technical concepts effectively. more »
InstaDeep is looking for an Applied Research Scientist to join our expanding team. Applied Research Scientists at InstaDeep develop algorithms and data pipelines focused mainly, but not exclusively, on physics-based methods. As part of the BioAI team, you will be contributing to the development of new approaches in molecular … analytical, and research skills. You will understand the underlying biology and engineering problems and follow the latest developments in machine learning and classical modelling algorithms to identify and harness the right technologies to solve the problems, improve the existing solutions and deploy them. You will collaborate with a multi-functional more »
provide technical solutions. Contributing to the development of best practices and standards for data engineering within the organization. Developing and implementing data models and algorithms to support data science and machine learning initiatives . Technical Requirements Proven track record leading complex ETL and Data Infrastructure projects, as well as designing … of data modelling, data access, and data storage techniques Experience with databases, both relational as well as NoSQL Strong understanding of data structures and algorithms Familiarity with Unix systems, common command line tools e.g., grep, awk and source control tools e.g., git Familiarity with Machine Learning and Statistics a plus more »
Business Intelligence Engineer London – Hybrid £400 a day Inside IR35 Key Skills: • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing more »
to EU/UK hours. Key Responsibilities: Analyse large and complex datasets: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Develop, implement, and maintain predictive models Utilise machine learning algorithms to improve product recommendations and marketing strategies. Collaborate with IT and data engineering teams to … for business improvements Key Skills: Proficient in Excel is absolutely essential here Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Previous experience of working on AI focused projects Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualisation more »
