Google Adwords Northampton Projects
Looking for freelance Google Adwords Northampton jobs and project work? PeoplePerHour has you covered.
opportunity
Search & Remove/Disvow all Toxic Links
This project aims to perform a comprehensive backlink audit of three domains and undertake remedial actions to optimize search performance. A thorough scan of all inbound links will be conducted to identify any potentially problematic or toxic backlinks, such as those from low-quality, unauthenticated or undisclosed paid directories/article submissions. All links indicating signs of unnatural linking behavior, negative SEO or other forms of over-optimization will be directly removed or anonymously disavowed through Google Search Console to deter future penalties. The selected freelancer will be responsible for researching link profiles, assessing link metrics/signals and taking requisite actions like link removals or disavowals to receive clean bill of health from major SEO auditing tools. The end goal is to achieve scoring of 100% on all backlink related audits for the three websites to ensure organic listings are not at risk of manual/algorithmic action from search engines. The project requires expertise in backlink analytics, link removal/disavowal techniques and management of SEO issues to deliver the specified outcome within the stipulated timeframe. Payment will only be released after confirmation and Site audit. You are required to clearly present all the Links found and removed or disvowed for all 3 domains.
24 days ago23 proposalsRemoteopportunity
PPC Paid Ads Manager for Tradesman Software
We are a growing software startup specialising in field service and job management solutions for service and trade businesses like plumbers, electricians, and maintenance professionals. Our software empowers these companies to efficiently handle their jobs, schedules, invoices, and field operations. Currently, our focus is on the UK market, catering to micro and small businesses with customer sizes ranging from 2-40 staff members. As well as some small paid campaigns in other UK speaking territories such as Australia and New zealand About the role: The role is to promote brand awareness and drive acquisition volumes through the use of digital ads, with a keen focus on ROI. You will need proven experience of paid media, including Google Ads and potentially Social Media Advertising in future. Your aim is to put Workever firmly on the map as a field management software solution for tradesmen and service businesses. Skills required: - Someone who already feels confident to manage and execute paid-for media alone - Ability to create event codes, domain whitelisting, API tracking and Pixel checking - Ability to collaborative effectively with other freelancers and the rest of the team - Understanding of SaaS business to drive subscriptions at a sensible ROI - Ability to report back monthly and offer recommendations for improvement - Good understanding of keyword research Day to day would include: - Analysing current campaigns to make recommendations on where to improve and remove and where to place budget for the lowest CPA - Understanding target audience, how to reach them and how to expand the offering to higher headcount businesses in a cost-effective manner - Managing performance reports and ensuring that all data is accurate and up to date - Employing a test and learn strategy to each ad group/campaign to understand efficiency and challenges - Creating visibility across individual trade verticals - Keeping a close eye on bid strategy, CTAs and landing pages to improve conversion - Trialling and recommending alternate platforms such as Performance Max, Bing Ads - Continual optimisation of campaigns to drive success - Using Search Console to interrogate potential opportunities Rough Monthly Paid ads budget: £6,500
16 days ago33 proposalsRemoteMachine Learning Engineer
We are seeking a highly skilled and motivated Machine Learning Engineer to join our team and contribute to the development of cutting-edge solutions for child safety applications. As a Machine Learning Engineer, you will be responsible for: ● Training and enhancing machine learning models using image-based data on TensorFlow. ● Evaluating and enhancing the performance of existing ML models, identifying opportunities for targeted advancements. ● Advising and guiding on the full ML development lifecycle, from conception to deployment, ensuring robust, efficient, and scalable solutions. ● Developing strategies for continual model training and retraining to adapt to evolving data patterns and threats, including training models in remote and sensitive environments. ● Innovating and exploring new ML development pathways, including the integration of open-source multi-modal models for advanced image and video classification tasks. ● Customising and fine-tuning state-of-the-art ML models to align with company-specific use cases and client needs. ● Architecting and implementing solutions for on-device model deployment, emphasising user privacy and data security. ● Creating and maintaining model deployment packages, such as SDKs and Docker containers, for seamless client integration. ● Collaborating cross-functionally with product managers, software engineers, and other stakeholders to integrate ML solutions into our product suite. ● Staying abreast of the latest ML technologies and methodologies, advocating for the adoption of industry-best practices. Qualifications: ● Bachelor's or Master's degree in Computer Science, Engineering, or related field. ● Proven experience in machine learning model development and deployment, particularly with TensorFlow. ● Strong programming skills in Python and proficiency in ML libraries such as TensorFlow, PyTorch, or Keras. ● Experience with image-based data and advanced image processing techniques. ● Knowledge of model evaluation metrics, optimization algorithms, and deep learning architectures. ● Familiarity with cloud platforms for model deployment (e.g., AWS, Google Cloud). ● Ability to work independently and collaboratively in a fast-paced environment. ● Excellent communication skills and the ability to explain complex concepts to non-technical stakeholders. Bonus Skills: ● Experience with on-device model deployment and edge computing. ● Familiarity with privacy-preserving ML techniques and data security protocols. ● Knowledge of open-source ML models and their integration into custom applications. If you are passionate about leveraging machine learning for child safety applications and are excited to work on impactful projects, we encourage you to apply and be part of our innovative team!
11 days ago17 proposalsRemote